This page provides official program documentation prepared for the Florida Department of Education Initial Teacher Preparation (ITP) program approval process. It includes the program curriculum, accreditation alignment, and required matrices demonstrating how the B.S. in Computer Science Education (K–12) meets Florida teacher preparation standards.
The Bachelor of Science in Computer Science Education (K–12) at the University of South Florida is an undergraduate initial teacher preparation program designed to prepare highly qualified educators to teach computer science across Florida's K–12 schools. The program is offered by the USF College of Education and leads to eligibility for initial Florida teacher certification in Computer Science K–12 upon successful completion of all program requirements and passing the required Florida Teacher Certification Examinations (FTCE). The program is designed in accordance with section 1004.04, Florida Statutes, and Rule 6A-5.066, Florida Administrative Code.
The program requires completion of 120 credit hours and integrates foundational professional education coursework, specialized computer science content aligned to Florida certification competencies, and supervised clinical experiences. Coursework is delivered in a 100% online format while ensuring meaningful clinical experiences through structured field placements and a supervised final field experience in K–12 school settings.
The program curriculum is organized around three major components: general education and foundational preparation, professional education coursework, and specialized computer science content coursework. The professional education component includes courses in educational foundations, assessment and measurement, instructional design, literacy development, and mathematics instructional practices. These courses ensure candidates develop the pedagogical knowledge and skills necessary to support diverse learners and implement effective instruction in K–12 classrooms.
The program coursework is further structured into two primary components: professional education coursework aligned with the Uniform Core Curricula and specialized computer science coursework aligned with Florida Teacher Certification Examination (FTCE) competencies. The professional education sequence consists of foundational courses in educational foundations, assessment, instructional design, content literacy, mathematical practices, exceptional student education, and English for Speakers of Other Languages (ESOL), ensuring candidates develop the pedagogical knowledge and skills required by the Uniform Core Curricula and Florida Educator Accomplished Practices. The specialized computer science component consists of 39 credit hours of coursework specifically aligned with the FTCE Computer Science K–12 subject area competencies, preparing candidates in computational thinking, programming, computer systems, networking, data structures, and the social and ethical impacts of computing. This component also includes structured clinical experiences through an early field experience course and a culminating final field experience (internship), during which candidates demonstrate mastery of instructional practices and content knowledge in K–12 classroom settings.
Clinical practice is embedded throughout the program and includes early field experiences and a final field experience (internship) in K–12 classrooms. During early field experiences, candidates observe and practice instructional strategies under the supervision of mentor teachers. The final field experience provides candidates with extended teaching responsibilities and opportunities to demonstrate mastery of instructional planning, classroom management, instructional delivery, and assessment practices.
The program emphasizes the development of teachers who can design engaging learning environments, apply evidence-based instructional practices, and integrate computational thinking and problem-solving skills into K–12 education. Candidates also develop professional dispositions aligned with the Florida Educator Accomplished Practices (FEAPs) and the Uniform Core Curricula requirements for teacher preparation programs.
To support candidate success on certification examinations, the program provides candidates with access to a USF-developed AI-supported FTCE preparation platform, which includes study materials, practice examinations, and adaptive learning tools aligned to the General Knowledge, Professional Education, and Computer Science K–12 FTCE exams.
Graduates of the program are prepared to teach computer science across grade levels and contribute to the growing need for qualified computer science educators in Florida schools. The program supports the state's efforts to expand high-quality computer science instruction and promote computational thinking and digital literacy for all K–12 students.
1.1.1: The program describes its admission requirements including the requirements outlined in section (s.) 1004.04(3)(b), Florida Statutes (F.S.).
Teacher preparation programs are designed for students who intend to become classroom teachers and lead to eligibility for initial teacher certification in the State of Florida.
Admission to the Bachelor of Science in Computer Science Education (K–12) program requires the following:
General Knowledge Test (GKT) — Policy Update
Effective July 1, 2021, the State of Florida removed the requirement that candidates pass the General Knowledge Test (GKT) for admission to teacher preparation programs. While the GKT is no longer required for admission, candidates are strongly encouraged to complete the examination prior to the start of the professional education sequence.
Students applying to the College of Education after a prior departure from a teacher preparation program must disclose the reason for their departure as part of the application review process.
Admission Screening
Applications to the teacher preparation program are reviewed by the College of Education to verify that candidates meet all admission requirements, including minimum GPA, prerequisite coursework, and university admission status. The review process ensures that candidates demonstrate the academic preparation and professional readiness necessary to enter the teacher preparation sequence.
Candidates may be required to meet with an academic advisor to review program expectations, certification requirements, and program progression milestones prior to admission into the professional education sequence.
Prerequisite Coursework
Prior to progression into the professional education sequence, candidates must complete foundational coursework designed to introduce the teaching profession and provide preparation for subsequent pedagogy courses.
Required prerequisite coursework includes:
Candidates must also complete the program's required mathematics pathway prior to enrollment in advanced professional education coursework.
Program Progression Requirements
Candidates admitted to the Computer Science Education (K–12) program must meet the following progression requirements in order to advance through the program and complete clinical experiences:
Candidates who do not meet progression requirements may be required to complete remediation activities or meet with program advisors to develop a plan for successful continuation in the program.
1.2.1: The program describes its plan for annually collecting, monitoring and reporting data on: Admitted candidates • Enrolled candidates • Candidate completers
The Computer Science Education (K–12) program at the University of South Florida implements a structured data monitoring process to track candidate admission, enrollment, progression, and program completion. The purpose of this process is to ensure that program faculty and administrators can monitor candidate progress, evaluate program effectiveness, and report required information to the Florida Department of Education.
Candidate data are collected and maintained by the University of South Florida College of Education in coordination with the Office of the Registrar and institutional data reporting systems. These data are maintained within university student information systems and program assessment platforms used by the College of Education. Institutional reporting tools, including Power BI dashboards, are used to monitor applicant, admitted, and enrolled candidate data, including trends across first-time-in-college and transfer candidates.
Upon admission, candidates are assigned a program of study within the university's student information system, which is used to track required coursework, completed courses, and remaining program requirements. This system allows program faculty, advisors, and candidates to monitor progression toward program completion and serves as a key data source for tracking candidate enrollment and progression.
The program collects and monitors candidate data in the following areas:
Admitted Candidates
Information collected at admission includes candidate grade point average, admission status, program of study, and demographic information. These data allow the program to monitor admission trends and ensure that candidates meet state and institutional admission requirements.
Enrolled Candidates
During the program, candidate progression is monitored through course completion, grade point average, performance on program assessments aligned with the Florida Educator Accomplished Practices, and participation in clinical experiences. The program utilizes CampusFolio, an institutional assessment system, to collect and track candidate performance data, including coursework assessments, portfolio artifacts, field experience participation, internship placements, and internship evaluations. CampusFolio also supports the collection of candidate survey data, including graduation surveys and workforce alignment measures, which are used for program monitoring and reporting.
Program faculty and the program coordinator review candidate performance data each semester and at key transition points to ensure that candidates are successfully progressing through program requirements. Data collected through CampusFolio and institutional systems are used to monitor candidate outcomes, inform advising, and support program improvement.
Program Completers
Upon program completion, the program tracks candidate graduation status, completion of required clinical experiences, and readiness for recommendation for Florida teacher certification. The program also collects and monitors data on program completers' employment outcomes and maintains contact with graduates during the first two years following program completion.
Data collected for program completers include graduate satisfaction survey results, employer satisfaction survey results from school administrators, and employment information. In addition, the program reviews Workforce Alignment Measure (WAM) data provided by the Florida Department of Education to evaluate program completers' impact on K–12 student learning and instructional effectiveness.
These data are used to monitor program outcomes, evaluate graduate effectiveness, and inform program decision-making and continuous improvement.
Candidate data are reviewed each semester and annually by program faculty, the program coordinator, and college leadership to monitor candidate progression and identify areas for program improvement. Aggregate candidate data, including admission, enrollment, and completion information, are reported annually to the Florida Department of Education through the electronic Institutional Program Evaluation Plan (eIPEP) system as required for approved teacher preparation programs.
Through systematic data collection, monitoring, and reporting processes, the program ensures accountability, supports candidate success, and maintains compliance with Florida Department of Education requirements for educator preparation programs.
1.3.1: The program provides the following contact information for the certification ombudsman: name, title, telephone number and email address.
The University of South Florida College of Education designates a certification ombudsman to assist candidates and program completers with the process of obtaining Florida educator certification. The certification ombudsman provides guidance on certification requirements, assists candidates with documentation needed for certification, and serves as a liaison between program completers and the Florida Department of Education.
Certification Ombudsman Contact Information
2.1.1: The program shall indicate how it will instruct and assess each candidate's progress and mastery of the Uniform Core Curricula (UCC) in coursework and field experiences, as defined in Rule 6A-5.066(1), Florida Administrative Code (F.A.C.) to include:
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida ensures that each candidate is systematically instructed in and assessed on the Uniform Core Curricula (UCC) through an integrated sequence of professional education coursework, specialized computer science coursework, and supervised clinical experiences. Instruction and assessment occur across coursework and are reinforced through early field experiences and a culminating final field experience (internship). Candidate mastery is assessed through course-embedded assignments, performance-based assessments, portfolio artifacts, and supervised evaluations during clinical experiences. Detailed alignment of coursework to the Florida Educator Accomplished Practices (FEAPs) and UCC components is documented in the FEAP Curriculum Map, Uniform Core Curricula Curriculum Map, Reading Matrix, and ESOL Matrix.
Use of State-Adopted Content Standards to Guide Curricula and Instruction
Candidates are instructed in the use of Florida's state-adopted academic standards, including the Florida Computer Science Standards adopted under Rule 6A-1.09401, Florida Administrative Code. Coursework requires candidates to design standards-aligned lesson plans, instructional units, and assessments. This alignment is explicitly addressed in EDE 4504 (Creating and Differentiating Learning Environments) and EDG 4437 (Teaching and Learning Computer Science for Teachers). During clinical experiences, including EDG 4438 (Early Field Experiences) and EDG 4439 (Final Field Experience), candidates apply these standards in K–12 classroom settings through instructional delivery and assessment of student learning.
Content Literacy and Mathematical Practices
Content literacy is addressed through RED 4333 (Content Area Reading), where candidates learn to integrate reading and writing strategies across content areas. Mathematical practices are addressed through MAE 4310 (Teaching Elementary School Mathematics), where candidates develop strategies to support mathematical reasoning and problem solving. Candidates demonstrate mastery through lesson planning, instructional delivery, and implementation during clinical experiences, including EDG 4439.
Strategies Appropriate for the Instruction of English Language Learners
Strategies for instruction of English language learners are addressed through TSL 4080 (ESOL Curriculum and Pedagogy). Candidates develop skills in planning, delivering, and assessing instruction for linguistically diverse learners. These strategies are applied and assessed during clinical experiences.
Strategies Appropriate for the Instruction of Students with Disabilities
Instruction related to students with disabilities is provided through EEX 4070 (Integrating Exceptional Student Education in the Regular Classroom), where candidates learn inclusive practices, accommodations, and modifications. Candidates apply these strategies in coursework and clinical experiences.
Strategies to Differentiate Instruction Based on Student Needs
Differentiated instruction is a core component of EDE 4504 (Creating and Differentiating Learning Environments), where candidates learn to design instruction based on diverse learner needs, including variations in readiness, learning styles, language proficiency, and exceptionalities. Candidates demonstrate mastery through lesson planning and instructional implementation. During EDG 4439 (Final Field Experience), candidates complete a Teacher Work Sample, in which they plan and implement differentiated instruction, analyze student learning data across diverse groups, and adjust instruction based on student needs.
Strategies and Practices to Support Evidence-Based Content Aligned to State Standards and Grading Practices
Candidates are prepared to implement evidence-based instructional strategies aligned to state standards through coursework and clinical experiences. Instructional planning and delivery are addressed in EDE 4504 and EDG 4437, while candidates apply these practices during EDG 4438 and EDG 4439. Candidates demonstrate mastery through lesson design, instructional delivery, and analysis of student performance.
Strategies Appropriate for the Early Identification of Students in Crisis and Referral
Candidates learn to identify students in crisis and apply appropriate referral procedures in EDE 4504 (Creating and Differentiating Learning Environments). These competencies are reinforced in clinical experiences, including EDG 4438 and EDG 4439, where candidates apply these strategies in K–12 settings and demonstrate appropriate response and referral practices.
Strategies to Support the Use of Technology in Education and Distance Learning
Technology integration is embedded throughout the program and is a central component of the computer science coursework sequence, including EDG 4430 through EDG 4437. Candidates learn to integrate digital tools and design instruction for both in-person and online learning environments.
Strategies and Practices to Support Effective, Research-Based Assessment and Grading Practices
Assessment literacy is developed through EDF 4430 (Measurement for Teachers), where candidates learn to design, implement, and analyze formative and summative assessments aligned to learning objectives and state standards. During EDG 4439 (Final Field Experience), candidates complete a Teacher Work Sample, a performance-based assessment in which they plan, implement, assess, and analyze student learning, demonstrating data-driven instructional decision-making and effective grading practices.
Florida Educator Accomplished Practices (FEAPs)
Instruction and assessment of the Florida Educator Accomplished Practices are embedded across professional education coursework and clinical experiences. Candidates demonstrate mastery through lesson planning, instructional delivery, assessment design, reflection, and performance during EDG 4438 and EDG 4439. Candidates are assessed through course assignments, portfolio artifacts, and evaluations by university supervisors and mentor teachers.
2.1.2: As part of the initial application process, the program provides information on the courses that will be included in the program.
2.2.1: The program describes how it will ensure each candidate is prepared to pass each portion of the FTCE prior to program completion, including the General Knowledge examination, the appropriate Subject Area examination(s) and the Professional Education examination.
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida is designed to ensure that each candidate is prepared to successfully pass all required components of the Florida Teacher Certification Examinations (FTCE), including the General Knowledge (GK) Examination, the Professional Education Test, and the Computer Science K–12 Subject Area Examination.
The program follows a structured sequence in which candidates first complete the professional education coursework, followed by the Computer Science certification coursework. The professional education courses provide the pedagogical knowledge and instructional foundations aligned with the competencies assessed on the FTCE Professional Education Test. Candidates are required to pass the FTCE General Knowledge Examination and the FTCE Professional Education Test prior to participation in the final clinical experience (internship). The FTCE Computer Science K–12 Subject Area Examination is required prior to program completion.
The Computer Science certification coursework (EDG 4430–EDG 4437) is specifically designed and developed to align with the competencies and skills assessed on the FTCE Computer Science K–12 Subject Area Examination. Each course addresses specific FTCE competencies, including computational thinking and problem solving, data types and data structures, programming logic, programming languages, computer systems and networking, historical and social issues in computing, and computer science pedagogy. Through coursework, applied assignments, and assessments, candidates demonstrate mastery of these competencies in preparation for the subject area examination.
In addition to coursework, candidates are provided access to a University of South Florida College of Education AI-supported FTCE preparation platform available to all candidates at no cost. The platform includes structured modules aligned to FTCE competencies, interactive instructional content, practice quizzes, and full-length practice examinations that simulate the FTCE testing environment. The system provides immediate feedback on candidate responses and includes an integrated AI learning assistant that offers explanations, guided support, examples, and step-by-step problem-solving assistance to reinforce understanding and address misconceptions.
The College of Education also provides semester-based FTCE preparation workshops for the General Knowledge and Professional Education examinations. These workshops offer candidates additional opportunities to review content, develop test-taking strategies, and receive faculty guidance prior to taking the FTCE.
Candidate readiness for FTCE examinations is monitored through performance in coursework aligned to FTCE competencies, participation in preparation resources, and faculty advisement. Candidates who do not demonstrate readiness are provided with additional support and targeted remediation to ensure they are prepared to successfully complete all required FTCE examinations prior to program completion.
2.2.2: The program provides curriculum maps, showing how the coursework is aligned to the Competencies and Skills for Teacher Certification prescribed in Rule 6A-4.0021, F.A.C., for the following FTCEs:
2.3.1: The program describes a plan to remediate program completers who were referred by the employing Florida school district during the first two years immediately following program completion.
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida provides a structured remediation process to support program completers who are referred by their employing Florida school district within the first two years following program completion.
When a program completer is identified by a school district as needing additional support, the College of Education will initiate contact with the completer and, when appropriate, the employing school district to determine the specific areas of need. Based on this information, the program will develop an individualized remediation plan aligned with the Florida Educator Accomplished Practices (FEAP) and the areas identified for improvement.
Remediation support may include targeted professional development, instructional coaching, access to program resources, and guided practice focused on specific areas such as instructional planning, classroom management, assessment, or content-specific pedagogy. Program faculty will work directly with the completer to provide support and ensure that the remediation activities are relevant and effective.
The program also utilizes available data sources, including employer feedback, evaluation results, and Value-Added Model (VAM) data when available, to inform the remediation process and ensure that support is aligned with demonstrated areas of need. Through this structured and responsive approach, the program ensures that completers receive meaningful assistance to improve their instructional effectiveness and support student learning outcomes.
2.3.2: The program describes a plan to monitor program completers who were referred by the employing Florida school district during the first two years immediately following program completion.
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida implements a structured monitoring process to ensure that program completers referred by their employing Florida school district receive the support outlined in their remediation plan during the first two years following program completion.
Following the development of an individualized remediation plan, program faculty maintain ongoing communication with the program completer and, when appropriate, with the employing school district to monitor progress. The program establishes regular check-in points to review the completer's progress toward meeting the goals identified in the remediation plan and to ensure that the support being provided is effective.
Monitoring is conducted through multiple data sources, including feedback from school administrators, formal evaluation results, and available student learning data such as Value-Added Model (VAM) reports. These data are used to assess the completer's improvement in the identified areas of need and to determine whether additional support or adjustments to the remediation plan are necessary.
Program faculty document all monitoring activities and maintain records of communication, support provided, and progress toward remediation goals. If a completer is not demonstrating sufficient progress, the program will revise the remediation plan and provide additional targeted support to ensure continued improvement.
Through ongoing communication, data-informed decision making, and systematic documentation, the program ensures that referred completers receive continuous support and that the assistance outlined in the remediation plan is implemented effectively.
2.4.1: The program must submit a written statement verifying it does not distort historical events; does not include curriculum or instruction that promotes identity politics or violates s. 1000.05, F.S.; and does not use curriculum or instruction based on theories that systematic racism, sexism, oppression and privilege are inherent in the institution of the United States and were created to maintain social, political and economic inequalities.
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3.1.1: The program describes its process for selecting the postsecondary faculty, and school district personnel and instructional personnel who meet the qualification outlined in s. 1004.04(5)(a-b), F.S.
Narrative on selection requirements used by the program for postsecondary faculty who instruct, direct or supervise field experiences
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida follows a structured and standards-based process for selecting postsecondary faculty who instruct, direct, or supervise field experiences. All faculty assigned to field experience supervision and instruction meet the qualifications outlined in section 1004.04(5)(a), Florida Statutes.
Postsecondary faculty include full-time faculty and qualified adjunct instructors with expertise in teacher education and computer science education. Selection criteria include demonstrated expertise in pedagogy, content knowledge in computer science, and prior experience in P–12 educational settings. Faculty who supervise field experiences are required to have relevant teaching experience in K–12 settings and a strong understanding of the Florida Educator Accomplished Practices (FEAPs), Florida Standards, and FTCE competencies.
University supervisors, including adjunct faculty, are selected based on their professional qualifications, which include prior teaching or administrative experience in K–12 schools, familiarity with clinical supervision practices, and demonstrated effectiveness in supporting teacher candidates. Many supervisors have current or recent experience working within partner school districts, ensuring alignment with district expectations, instructional priorities, and evaluation systems.
All selected faculty are oriented to program expectations, including supervision protocols, candidate evaluation procedures, and use of assessment systems such as CampusFolio. Faculty are responsible for observing candidates, providing structured feedback, evaluating candidate performance using FEAP-aligned instruments, and supporting candidate development throughout early field experiences (EDG 4438) and the final internship (EDG 4439).
Through this structured selection process, the program ensures that postsecondary faculty possess the content expertise, pedagogical knowledge, and clinical supervision skills necessary to effectively support candidate development and evaluate candidate performance during field experiences.
Narrative on selection requirements used by the program for school district personnel who supervise field experiences
The program collaborates with partnering school districts to select qualified school-based personnel, including cooperating teachers and instructional supervisors, who meet the requirements outlined in section 1004.04(5)(b), Florida Statutes.
School-based supervisors are selected by partnering school districts in coordination with the program and must meet state-defined criteria for supervising teacher candidates. These criteria include completion of clinical educator training, demonstrated effectiveness in classroom instruction, and a record of positive impact on P–12 student learning. Cooperating teachers are typically experienced educators with a minimum of three years of successful teaching experience and strong instructional and classroom management practices.
In addition, school-based supervisors are expected to demonstrate expertise in working with diverse student populations, including English language learners and students with exceptionalities, and to model effective instructional practices aligned with Florida Standards and the FEAPs. School administrators and district personnel verify that cooperating teachers meet these qualifications prior to placement of candidates.
The program works closely with district partners to ensure that selected cooperating teachers and supervisors are well-suited to support candidates in computer science education settings. This includes identifying teachers who are capable of supporting instruction in technology-rich environments and computer science content where applicable.
Through this collaborative selection process, the program ensures that school-based personnel supervising field experiences are highly qualified, trained, and capable of mentoring candidates and supporting their development as effective educators.
3.1.2: The program describes its process for monitoring the qualifications of postsecondary faculty, and school district personnel and instructional personnel who instruct, direct or supervise field experience courses or internships in which a student candidate demonstrates his or her impact on p-12 student learning growth, as outlined in s. 1004.04(5)(a-b), F.S.
Narrative on how the program is monitoring qualifications of postsecondary faculty who instruct, direct or supervise field experiences
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida implements a systematic process to monitor the qualifications and effectiveness of postsecondary faculty who instruct, direct, or supervise field experiences, in accordance with section 1004.04(5)(a), Florida Statutes.
The program maintains records of faculty qualifications, including academic credentials, teaching experience, and relevant P–12 professional experience. These records are reviewed periodically by program leadership to ensure continued compliance with state requirements and alignment with program needs.
Faculty performance in field experiences is monitored through multiple measures, including candidate evaluations, supervisor observation reports, and review of candidate performance data collected through the program's assessment system (CampusFolio). Program leadership reviews these data to ensure that faculty are effectively supporting candidate development and accurately assessing candidate performance aligned with the Florida Educator Accomplished Practices (FEAPs).
In addition, faculty participate in ongoing professional development and program meetings to ensure continued alignment with program expectations, updated state requirements, and best practices in clinical supervision. Feedback from candidates and program completers is also used to inform decisions regarding continued assignment of faculty to field experience supervision roles.
Through continuous review of qualifications, performance data, and feedback, the program ensures that postsecondary faculty maintain the expertise and effectiveness required to support high-quality field experiences.
Narrative on how the program is monitoring qualifications of school district personnel who supervise field experiences
The program collaborates with partnering school districts to monitor the qualifications and effectiveness of school-based personnel who supervise field experiences, in accordance with section 1004.04(5)(b), Florida Statutes.
School district partners are responsible for verifying that cooperating teachers and instructional supervisors maintain required qualifications, including clinical educator training and demonstrated effectiveness in the classroom. The program works closely with district personnel to ensure that these qualifications are current and that cooperating teachers continue to meet district and state expectations.
The program monitors the effectiveness of school-based supervisors through ongoing communication with district partners, feedback from university supervisors, and candidate evaluations of their field experience placements. Information collected through these sources is reviewed by program leadership to ensure that cooperating teachers are providing appropriate mentorship, support, and feedback to candidates.
Additionally, candidate performance data during field experiences, including internship evaluations aligned with the FEAPs, are used to assess the effectiveness of school-based supervision. If concerns arise regarding a placement or supervising teacher, the program works with the school district to address the issue, which may include providing additional support, reassignment of candidates, or selection of alternative supervisors.
Through collaborative monitoring with school district partners, use of multiple data sources, and ongoing communication, the program ensures that school-based personnel supervising field experiences maintain appropriate qualifications and effectively support candidate development.
3.2.1: The program shall ensure (by including a statement) that it uses its partnering school district(s)' state-approved instructional personnel evaluation system as part of the final summative evaluation of each program candidate during the final internship. The program shall also provide either a web link or a copy of the partnering district(s)' state-approved instructional personnel evaluation system that is being utilized.
Assurance Statement
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida ensures that each program candidate is evaluated during the final internship using the state-approved instructional personnel evaluation system of the partnering Florida school district.
During the final clinical experience (EDG 4439 — Computer Science Final Field Experience), candidates are formally evaluated by their cooperating teacher and/or school administrator using the district's approved instructional personnel evaluation system. This evaluation is incorporated as a required component of the candidate's final summative evaluation and is used in conjunction with program-based assessments aligned with the Florida Educator Accomplished Practices (FEAPs).
In addition to the district evaluation system, the program implements a structured evaluation process during the internship to monitor candidate progress and ensure consistency and reliability in candidate assessment. Candidates are evaluated at multiple points during the internship, including midterm and final evaluations, using FEAP-aligned instruments such as a disposition assessment and a comprehensive internship evaluation form. These evaluations are completed collaboratively by both the university supervisor and the cooperating teacher.
The program utilizes an assessment system to track candidate performance across all evaluation instruments. This system flags areas of concern (e.g., "red flag" indicators) when candidates do not meet minimum performance expectations. In such cases, program supervisors initiate targeted support and intervention processes to assist candidates in improving their performance.
Additionally, candidates complete major assignments during the final internship, including the Teacher Work Sample and related instructional artifacts, which are evaluated by both the university supervisor and cooperating teacher to ensure consistency, reliability, and alignment with program expectations.
Through the integration of the district's state-approved instructional personnel evaluation system and the program's structured, FEAP-aligned assessment processes, the program ensures that each candidate is evaluated using multiple measures and held to the same professional standards expected of practicing educators in Florida school districts.
3.3.1: The program describes the content-specific formative and summative evaluation methods that will be utilized by a program candidate to demonstrate positive impact on p-12 student learning growth.
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida prepares candidates to demonstrate positive impact on P–12 student learning through the systematic use of content-specific formative and summative assessment strategies embedded within clinical experiences.
During the final internship (EDG 4439 — Computer Science Final Field Experience), candidates complete a comprehensive Teacher Work Sample (TWS), which serves as the primary measure of their impact on student learning. As part of this process, candidates design and implement a standards-aligned instructional unit in computer science and utilize multiple forms of assessment to measure student learning growth.
Formative assessments are used throughout instruction to monitor student understanding and guide instructional decisions. These include ongoing checks for understanding, observation of student performance, questioning strategies, analysis of student work, and other classroom-based assessment techniques. Candidates collect and analyze formative data during instruction to identify student misconceptions, adjust teaching strategies, and differentiate instruction to meet diverse learner needs.
Summative assessments are used to measure overall student learning growth and the effectiveness of instruction. Candidates design and administer pre-assessments and post-assessments aligned with Florida computer science standards and learning objectives. These assessments allow candidates to measure student learning gains over time and evaluate the extent to which instructional goals have been achieved.
Candidates analyze assessment data using structured data analysis procedures, including comparison of pre- and post-assessment results, identification of learning trends, and evaluation of subgroup performance. Based on these analyses, candidates make data-informed instructional decisions and reflect on the effectiveness of their teaching practices.
Evidence of student learning growth, including assessment data, charts, and analysis, is documented within the Teacher Work Sample and evaluated by both the university supervisor and the cooperating teacher. Through this structured process, candidates demonstrate their ability to use assessment data to inform instruction and positively impact P–12 student learning in computer science classrooms.
3.4.1: The program describes how candidates receive feedback on their progress through field experiences. Feedback shall include, at a minimum:
Narrative on how feedback to candidates includes evidence of measurable student learning
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida ensures that feedback provided to candidates during field experiences is grounded in measurable evidence of P–12 student learning. During the final internship (EDG 4439 — Computer Science Final Field Experience), candidates collect and analyze student learning data as part of the Teacher Work Sample (TWS), including pre-assessment, formative assessment, and post-assessment results.
University supervisors and cooperating teachers use this data to provide targeted feedback on candidate performance, focusing on the candidate's ability to demonstrate student learning growth. Feedback is based on documented evidence such as student work samples, assessment results, and data analysis artifacts. Candidates are expected to interpret this evidence and demonstrate how their instructional decisions impacted student outcomes.
Through this process, feedback is directly tied to measurable student learning gains, ensuring that candidates understand the relationship between their teaching practices and student achievement.
Narrative on how feedback to candidates strategically builds on prior feedback
The program ensures that feedback provided to candidates is continuous, structured, and builds on prior feedback throughout field experiences. During both early field experiences (EDG 4438) and the final internship (EDG 4439), candidates receive feedback at multiple points, including midpoint and final evaluations, as well as ongoing informal feedback from university supervisors and cooperating teachers.
Feedback is documented through FEAP-aligned evaluation instruments and candidate performance data within the program's assessment system. Supervisors and cooperating teachers reference prior feedback when providing new guidance, allowing candidates to track their progress over time and focus on areas previously identified for improvement.
This iterative feedback process enables candidates to demonstrate growth across clinical experiences, as feedback evolves from foundational instructional skills in early field experiences to more advanced instructional decision-making and impact on student learning during the final internship.
Narrative on how feedback to candidates identifies key action steps for improvement
The program ensures that feedback provided to candidates includes clear, actionable steps for improvement. Feedback from university supervisors and cooperating teachers is aligned with the Florida Educator Accomplished Practices (FEAPs) and is designed to identify specific areas where candidates need to improve their instructional practices.
When candidates do not meet expected performance levels, feedback includes targeted recommendations such as modifying instructional strategies, improving classroom management techniques, strengthening assessment practices, or enhancing differentiation to meet diverse student needs. The program's assessment system supports this process by identifying areas of concern and prompting timely intervention by program supervisors.
Candidates are expected to use this feedback to revise their instructional plans, adjust teaching practices, and demonstrate improvement in subsequent observations and evaluations. Through this structured approach, feedback not only identifies areas for growth but also provides clear direction for candidate improvement and professional development.
3.5.1: The program describes the process or plan for how settings are selected, based upon data, for each candidate's field clinical experiences and internships relevant to program objectives for the development and practice of candidate skills that represent high performing and/or improving schools, in a variety of challenging environments, with a variety of p-12 student populations.
Narrative on process/plan for how field experience settings are selected (using data)
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida utilizes a systematic, data-driven process to select field experience settings that provide candidates with opportunities to develop instructional skills across diverse and high-need educational environments.
Field placements are coordinated using the program's assessment system, CampusFolio, which maintains comprehensive records of candidate placements, including school sites, cooperating teachers, and university supervisors. The system integrates publicly available school-level data from the Florida Department of Education to support informed placement decisions.
Using these data, the program intentionally assigns candidates to a variety of school settings across their clinical experiences, including early field experiences (EDG 4438) and the final internship (EDG 4439). Placement decisions ensure that candidates experience a range of school contexts, including high-performing and improving schools, as well as schools that serve diverse student populations in urban, suburban, and, when available, rural settings.
The program prioritizes placements that expose candidates to diverse student populations, including students from varying socioeconomic backgrounds, English language learners (ELL), and students with exceptionalities (ESE). In addition, the program ensures that each candidate completes at least one field experience in a high-needs or low-performing school setting, allowing candidates to develop instructional strategies that support low-achieving students and address achievement gaps.
This structured placement approach ensures that candidates are prepared to teach effectively in a wide range of educational environments and are equipped to meet the needs of diverse P–12 learners.
Narrative on the data used to identify low achieving students and in defining challenging environments within the partnering district
The program uses multiple data sources to identify low-achieving students and define challenging school environments for the purpose of field experience placement decisions.
Primary data sources include publicly available school-level data from the Florida Department of Education, which are integrated into the program's CampusFolio system. These data include school performance grades, student achievement indicators, and demographic characteristics such as socioeconomic status (e.g., percentage of students eligible for free or reduced-price lunch), English language learner (ELL) populations, and exceptional student education (ESE) enrollment.
School performance grades and student achievement data are used to identify low-performing or improving schools, which serve as indicators of environments where students may require additional instructional support. Demographic indicators, including high concentrations of economically disadvantaged students, ELL populations, and students with disabilities, are used to define challenging educational settings.
The program also utilizes a structured approach to analyzing placement diversity by incorporating school demographic data into its assessment system. This allows the program to evaluate and compare the diversity of school settings and ensure that candidates are placed in environments that reflect a broad range of student needs and learning contexts.
Through the use of these data sources, the program ensures that field placements are informed by objective indicators of student need and school context, supporting candidate preparation to effectively teach and support diverse and low-achieving student populations.
3.5.2: The program describes the process or plan for how settings are monitored, based upon data, for each candidate's field clinical experiences and internships relevant to program objectives for the development and practice of candidate skills that represent high performing and/or improving schools, in a variety of challenging environments, with a variety of p-12 student populations.
Narrative on how field experience settings are monitored (using data)
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida implements a systematic, data-driven process to monitor field experience settings to ensure that candidate placements remain aligned with program objectives, provide exposure to diverse and high-need school environments, and support the development of candidate instructional skills. Monitoring processes are supported through the program's assessment system and ongoing collaboration with school district partners.
Who is responsible for monitoring the settings?
Monitoring of field experience settings is the responsibility of program leadership, including the program coordinator, faculty overseeing clinical experiences, and the Office of Clinical Education, in collaboration with partnering school districts. These stakeholders work together to ensure that field placements align with program objectives, state requirements, and candidate development needs.
What specific data elements are used to track the settings?
The program uses multiple data elements to monitor field placements, including candidate placement records (school sites, cooperating teachers, and university supervisors), internship and disposition evaluation results, and school-level data such as performance grades, student demographics (e.g., socioeconomic status, ethnicity), English language learner (ELL) populations, and exceptional student education (ESE) enrollment. Candidate placement history across early field experiences and final internships is also tracked to ensure exposure to diverse settings.
What data sources are used?
Data are collected and maintained within the program's assessment system, CampusFolio, which integrates institutional placement records with publicly available school-level data from the Florida Department of Education. Additional data sources include candidate evaluation results completed by university supervisors and cooperating teachers, as well as feedback from school administrators.
How often does the monitoring occur and where is this information stored by the program?
Monitoring occurs on an ongoing basis, including during placement assignments each semester, throughout field experiences, and following completion of each clinical experience. Program faculty and leadership regularly review placement data and candidate performance to ensure alignment with program goals. All placement, demographic, and evaluation data are stored within CampusFolio, where they are maintained for continuous review, reporting, and program improvement.
3.5.3: The program identifies the length of time program candidates will participate in field experiences prior to completing their culminating field experience. The program will also verify the minimum number of weeks of student teaching that is required.
The Bachelor of Science in Computer Science Education (K–12) program at the University of South Florida requires candidates to complete structured field experiences prior to and during their culminating clinical experience to ensure progressive development of instructional skills.
Number of hours of field experiences that are required for candidates to complete prior to their culminating field experience:
Prior to the final internship, candidates complete early field experiences embedded within program coursework. These include a minimum of 15 hours of field experience completed as part of introductory education coursework. In addition, candidates complete EDG 4438 — Computer Science Early Field Experiences, in which they participate in field placements two full school days per week over a 15-week semester, resulting in a minimum of 240 hours of supervised in-school experience. These experiences provide candidates with opportunities to engage in classroom observation, instructional support, and guided teaching practice in P–12 settings.
Number of weeks of student teaching that is required for candidates to complete:
The culminating clinical experience, EDG 4439 — Computer Science Final Field Experience, requires candidates to complete a full-time student teaching internship over a 15-week semester. During this period, candidates are placed in a P–12 classroom five days per week, completing a minimum of 600 hours of clinical practice (15 weeks × 5 days per week × 8 hours per day), and assume increasing responsibility for instruction, classroom management, assessment, and professional responsibilities under the supervision of a cooperating teacher and university supervisor.
4.1.1: The program describes the annual process for how it will collect aggregated data on program candidates and program completers to use for monitoring purposes on each of the following:
The program will annually collect and analyze aggregated data on the impact of P–12 student learning for all employed program completers through the use of Value-Added Model (VAM) scores provided by the Florida Department of Education (FLDOE). These data are made available to educator preparation programs through the state's Annual Program Performance Report (APPR) and associated data files.
Florida's VAM is a statistical model that measures the contribution of individual teachers to student learning growth by comparing students' actual performance on statewide assessments to their expected performance. Expected performance is determined using multiple covariates, including prior student achievement, attendance, mobility, English Language Learner status, Students with Disabilities status, gifted status, class size, and other relevant factors. This approach ensures that the resulting scores isolate the educator's impact on student learning while controlling for external variables.
The program will use aggregated VAM data for program completers employed in in-field instructional positions in Florida public and charter schools. These data reflect student learning growth outcomes for P–12 students assigned to program completers and are typically based on the most recent available academic year, as reported by the FLDOE. A VAM score of zero indicates that student performance met expected growth, while positive or negative scores indicate performance above or below expectations, respectively.
On an annual basis, program leadership and faculty will review aggregated VAM results to evaluate the effectiveness of program completers in supporting P–12 student learning. This review will include analysis of trends over time, when available, to determine consistency and stability of completer impact. The program acknowledges that sample sizes may vary and may not represent all completers; however, the data remain a critical external measure of program effectiveness.
The program will publicly report aggregated VAM outcomes as part of its commitment to transparency and continuous improvement. Additionally, results will be shared with program faculty and leadership to inform data-driven decision-making. Findings will be used to identify program strengths and areas for improvement, leading to targeted enhancements in curriculum, clinical experiences, and candidate support systems to improve future completer impact on student learning.
The program also recognizes that VAM data availability may be affected by statewide assessment transitions or emergency conditions (e.g., COVID-19 disruptions or implementation of new assessments such as the Florida Assessment of Student Thinking aligned to B.E.S.T. standards). In such cases, the program will continue to analyze the most recent available data and supplement with additional evidence, when appropriate, to ensure ongoing monitoring of completer effectiveness.
The program will annually collect and analyze aggregated data on program completers' performance as evidenced by the Annual Program Performance Report (APPR) issued by the Florida Department of Education (FLDOE) on the eIPEP system. The APPR serves as the state's official accountability system for educator preparation programs and provides a comprehensive evaluation of program effectiveness based on multiple outcome-based performance metrics.
The APPR includes aggregated data on program completers across several key indicators, including placement rate, retention rate, student learning growth, student performance by subgroups, and results of completers' annual evaluations. These metrics are legislatively mandated and are used by the state to determine the overall effectiveness of teacher preparation programs in producing high-quality educators.
Each year, the program will review its APPR summative rating, which is calculated on a scale where scores above 3.5 indicate Full Approval with Distinction, scores between 2.4 and 3.5 indicate Full Approval, and scores below 2.4 may result in possible denial of approval. In addition to the overall rating, the program will analyze disaggregated data across each of the APPR components to identify strengths and areas for improvement.
Program leadership and faculty will engage in a systematic annual review process of APPR results. This process will include examining trends over time, comparing performance across program areas when applicable, and identifying patterns in completer outcomes such as employment, retention, and evaluation results. The program will use these findings to inform continuous improvement efforts, including revisions to curriculum, candidate support structures, and clinical experiences.
APPR results will be shared with program faculty, leadership, and relevant stakeholders to ensure transparency and collective responsibility for program quality. Aggregated APPR data will also be used in conjunction with other program data sources to support data-driven decision-making and continuous program improvement.
Through the intentional use of APPR data, the program ensures ongoing monitoring of completer performance and alignment with state expectations for educator preparation, ultimately supporting improved program outcomes and positive impact on P–12 student learning.
The program will annually collect and analyze aggregated data on program completer and employer satisfaction through surveys administered in alignment with requirements established by the Florida Department of Education (FLDOE). These surveys are designed to gather feedback on the effectiveness of the program in preparing completers for the teaching profession and to assess employer perceptions of completer readiness and performance in the field.
The program will utilize state-provided survey instruments, when available, or institutionally developed surveys aligned to the Florida Educator Accomplished Practices to ensure that survey items reflect the knowledge, skills, and dispositions expected of effective educators. Surveys will be administered to program completers and their employers during the first year of employment to capture relevant and timely feedback on program effectiveness.
Collected survey data will be aggregated and reviewed annually by program leadership and faculty. The analysis will focus on identifying trends in completer preparedness, instructional effectiveness, classroom management, and professional responsibilities, as well as employer satisfaction with completer performance. Response rates and patterns will also be monitored to ensure data quality and representativeness.
Findings from satisfaction surveys will be used to inform continuous improvement efforts within the program, including modifications to curriculum, clinical experiences, and candidate support structures. The program will also triangulate survey data with other data sources, such as APPR results and candidate performance data, to develop a comprehensive understanding of program effectiveness.
The program will ensure that aggregated satisfaction survey results are reported annually to the Florida Department of Education as required. Additionally, results will be shared with program faculty and stakeholders to support transparency and collaborative program improvement.
Appendix A: Program Completer Satisfaction Survey
Purpose
The purpose of this survey is to gather feedback from program completers regarding the effectiveness of the educator preparation program in preparing them for success in the classroom.
Instructions
Please rate the extent to which the program prepared you in each area using the scale below: 1 = Not Prepared; 2 = Partially Prepared; 3 = Prepared; 4 = Well Prepared
Section I: Instructional Design and Lesson Planning (FEAP 1)
Section II: The Learning Environment (FEAP 2)
Section III: Instructional Delivery and Facilitation (FEAP 3)
Section IV: Assessment (FEAP 4)
Section V: Continuous Professional Improvement (FEAP 5)
Section VI: Professional Responsibility and Ethical Conduct (FEAP 6)
Section VII: Program Effectiveness
Open-Ended Questions
Appendix B: Employer Satisfaction Survey
Purpose
The purpose of this survey is to gather feedback from employers regarding the preparedness and effectiveness of program completers.
Instructions
Please rate the performance of the teacher using the scale below: 1 = Unsatisfactory; 2 = Needs Improvement; 3 = Effective; 4 = Highly Effective
Section I: Instructional Design and Lesson Planning (FEAP 1)
Section II: The Learning Environment (FEAP 2)
Section III: Instructional Delivery and Facilitation (FEAP 3)
Section IV: Assessment (FEAP 4)
Section V: Continuous Professional Improvement (FEAP 5)
Section VI: Professional Responsibility and Ethical Conduct (FEAP 6)
Section VII: Overall Performance
Open-Ended Questions
The program will implement a comprehensive system to monitor, support, and remediate program completers during the two-year period immediately following program completion or initial certification, in accordance with Florida Statute 1004.04.
The program will annually collect and review aggregated data related to program completers who are employed in Florida public or charter schools during the two-year guarantee period. Data sources will include employer feedback, annual evaluation ratings, and formal notifications or referrals from employing school districts.
In alignment with state requirements, any program completer who receives a performance evaluation rating of Developing or Unsatisfactory, or who is identified by the employing school district or charter school as needing additional support, will be provided targeted assistance by the program at no cost to the completer or employer. Support services will be initiated upon request from the employing district or upon identification through program monitoring processes. The program maintains communication protocols with employing districts to ensure timely identification and support of completers requiring assistance.
For each identified completer, the program will collaborate with the employing school district or charter school to develop an individualized professional development plan. This plan will include clearly defined areas of need, specific learning outcomes, targeted support strategies, and a timeline for completion. Support may include, but is not limited to, instructional coaching, mentoring, targeted professional development, classroom observation and feedback, and access to relevant program resources.
The program will document all assistance provided, including the type of support, duration, outcomes, and evidence of improvement. Aggregated data on completer support and remediation will be reviewed annually by program leadership and faculty to identify trends, common areas of need, and opportunities for program improvement.
Findings from the two-year guarantee process will be used to inform continuous improvement efforts within the program, including enhancements to curriculum, clinical experiences, and candidate preparation. This process ensures that the program not only complies with state requirements but also maintains responsibility for the ongoing success and effectiveness of its completers in supporting P–12 student learning.
The program will annually collect and analyze aggregated data on the impact of P–12 student learning for all program candidates during field experiences through multiple performance-based assessments embedded within clinical practice.
A primary measure of candidate impact on student learning will be the completion of a comprehensive Teacher Work Sample (TWS) during the culminating field experience. The Teacher Work Sample is a performance-based assessment that requires candidates to plan, instruct, assess, and analyze a multi-lesson instructional unit. As part of the TWS, candidates will demonstrate their ability to analyze contextual factors, develop standards-aligned learning goals, design and implement instruction, and utilize pre- and post-assessment data to measure P–12 student learning growth. Candidates are required to analyze student performance data, including subgroup performance when applicable, and provide evidence of student learning gains through data displays and written analysis.
The Teacher Work Sample also requires candidates to engage in instructional decision-making based on student data and to reflect on their effectiveness in promoting student learning. This process ensures that candidates demonstrate the ability to use data to inform instruction, differentiate teaching strategies, and evaluate their impact on student outcomes.
In addition to the Teacher Work Sample, candidates will be evaluated throughout their field experiences and culminating internship by both university supervisors and cooperating teachers. These evaluations are aligned to the Florida Educator Accomplished Practices and include specific indicators related to candidate impact on student learning, including planning standards-based instruction, delivering effective instruction, using assessment data to guide instruction, and demonstrating measurable student learning gains.
Evaluation data from both the Teacher Work Sample and clinical performance assessments will be collected, aggregated, and reviewed annually by program leadership and faculty. The program will analyze candidate performance trends related to student learning impact, including strengths and areas for improvement across cohorts.
Additional data sources may include candidate portfolios, lesson plan evaluations, and formal observation instruments that document candidates' ability to positively influence P–12 student learning during clinical experiences.
Findings from these data sources will be used to inform continuous improvement efforts within the program, including enhancements to coursework, clinical experiences, and candidate support. This systematic approach ensures that candidates are effectively prepared to demonstrate a measurable and positive impact on P–12 student learning prior to program completion.
The program will collect and analyze aggregated data on program candidates' performance during the culminating field experience through multiple formal evaluation instruments aligned to the Florida Educator Accomplished Practices (FEAPs).
During the culminating internship, each candidate will be evaluated using two primary assessment instruments: (1) a Professional Behavior Assessment (Disposition Evaluation) and (2) an Intern Evaluation Form aligned to FEAP indicators. These instruments are designed to assess both instructional performance and professional dispositions to ensure candidates demonstrate the knowledge, skills, and professional behaviors required of effective educators.
Each candidate will be formally evaluated by both the university supervisor and the cooperating teacher at two key points during the semester: midterm and final. This results in a total of four formal evaluations per candidate, ensuring multiple measures and perspectives on candidate performance. Evaluations are conducted using standardized instruments within the program's data management system, CampusFolio, which allows for systematic collection, aggregation, and analysis of candidate performance data.
The Intern Evaluation Form assesses candidate performance across FEAP-aligned domains, including instructional planning, learning environment, instructional delivery, assessment, and professional responsibilities. The Professional Behavior Assessment evaluates candidate dispositions such as professionalism, communication, collaboration, ethical conduct, and responsiveness to feedback.
If a candidate receives a rating below satisfactory on any evaluation, the university supervisor and/or cooperating teacher will initiate an intervention process. This includes a formal meeting with the candidate to discuss areas of concern, provide targeted feedback, and outline specific expectations for improvement. Concerns may relate to instructional performance, professional dispositions, or overall internship progress.
When concerns are identified, the university supervisor or cooperating teacher will complete the appropriate evaluation form (FEAP-based or disposition-based) and notify program leadership. The program will implement a structured support process, including the development of a Student Improvement Plan (SIP). The SIP outlines specific areas for growth, targeted support strategies, measurable outcomes, and a timeline for improvement. Program leadership, the university supervisor, and the cooperating teacher collaborate to support the candidate and monitor progress toward successful completion of the internship.
In addition to formal evaluations, candidates receive ongoing feedback through observations, conferencing, and mentoring throughout the internship experience. This continuous feedback model supports candidate growth and ensures alignment with program expectations.
Aggregated data from all evaluation instruments are reviewed annually by program faculty and leadership to identify trends in candidate performance, including strengths and areas for improvement across FEAP domains and dispositions. These data are used to inform continuous program improvement, including revisions to coursework, clinical experiences, and candidate support structures.
This comprehensive evaluation system ensures that all candidates demonstrate the competencies necessary to positively impact P–12 student learning and meet the expectations of the teaching profession prior to program completion.
Appendix C: Intern Evaluation Form (FEAP-Aligned)
Purpose
The purpose of this evaluation is to assess program candidates' performance during the culminating field experience based on the Florida Educator Accomplished Practices (FEAPs).
Instructions
Please rate the candidate's performance in each area using the scale below: 1 = Unsatisfactory; 2 = Developing; 3 = Effective; 4 = Highly Effective
Section I: Instructional Design and Lesson Planning (FEAP 1)
Section II: The Learning Environment (FEAP 2)
Section III: Instructional Delivery and Facilitation (FEAP 3)
Section IV: Assessment (FEAP 4)
Section V: Continuous Professional Improvement (FEAP 5)
Section VI: Professional Responsibility and Ethical Conduct (FEAP 6)
Section VII: Overall Performance
Comments
Strengths:
Areas for Improvement:
Additional Feedback:
Appendix D: Professional Behavior (Disposition) Assessment
Purpose
The purpose of this assessment is to evaluate candidate professional dispositions and behaviors expected of educators in accordance with program expectations and professional standards.
Instructions
Please rate the candidate's dispositions using the scale below: 1 = Unsatisfactory; 2 = Developing; 3 = Effective; 4 = Highly Effective
Section I: Professionalism
Section II: Communication
Section III: Collaboration
Section IV: Commitment to Student Learning
Section V: Reflective Practice
Section VI: Professional Responsibility
Overall Disposition Rating
Comments
Strengths:
Areas for Improvement:
Additional Feedback:
The program will annually collect and analyze aggregated data on program candidates' Florida Teacher Certification Examinations (FTCE) performance at the competency level. These data will be obtained through the Pearson candidate performance reporting system, which provides detailed score reports for each FTCE examination, including overall performance and disaggregated results by individual competencies.
The program will review candidate performance across all required FTCE components, including the General Knowledge Test, Professional Education Test, and relevant subject area examinations. Each FTCE assessment is aligned to specific competencies established by the Florida State Board of Education, including competencies directly aligned to the Florida Educator Accomplished Practices (FEAPs), particularly within the Professional Education Test.
The Pearson reporting system provides diagnostic, competency-level data that identify candidate strengths and areas for improvement. In addition, the system provides comparative data that allows the program to analyze candidate performance relative to statewide averages on each competency. These comparisons enable the program to identify areas where candidates perform above or below state benchmarks and evaluate program effectiveness in preparing candidates for certification requirements.
The program will monitor both first-attempt and subsequent FTCE performance to identify trends in candidate progression and readiness for certification. Aggregated data will be reviewed annually by program faculty and leadership, with particular attention to competencies where candidate performance falls below state averages or program expectations.
Findings from FTCE data will be used to inform continuous improvement efforts, including alignment of coursework to FTCE competencies, revisions to instructional strategies, and enhancements to candidate support systems. The program will ensure that coursework is intentionally aligned to FTCE competencies, including targeted preparation for the Professional Education Test and the Computer Science K–12 subject area examination.
In addition, the program will provide targeted support to candidates based on competency-level performance, which may include focused review modules, faculty support, practice assessments, and structured preparation experiences. These supports are designed to address identified areas of need and improve candidate success on FTCE examinations.
Through the systematic collection, analysis, and application of FTCE competency-level data, the program ensures that candidates are effectively prepared to meet state certification requirements and demonstrate the knowledge and skills necessary for success in the classroom.
The program will utilize additional data sources within its assessment system, CampusFolio, to monitor program effectiveness and support continuous improvement. CampusFolio is an assessment system developed and utilized by the University of South Florida College of Education and is used to systematically collect, manage, and analyze candidate and program data.
One key data source is the Internship Placement Diversity Report. The program ensures that each candidate is placed in diverse school settings during field experiences and the culminating internship. When placements are entered into CampusFolio, detailed information is recorded, including university supervisor, cooperating teacher, grade level, and school site information. The system incorporates embedded school demographic data, allowing the program to track candidate placements across multiple diversity indicators, including student gender, ethnicity, English Language Learner status, and socioeconomic status as indicated by free and reduced lunch data.
CampusFolio generates reports that allow the program to monitor the diversity of candidate placements across cohorts. The system also flags placements that do not meet program expectations for diversity, allowing program leadership to make adjustments to ensure that candidates have equitable and comprehensive clinical experiences across diverse educational settings.
In addition to placement data, the program will analyze candidate progression and completion data, including retention rates, successful completion of program milestones, and time to program completion. These data are used to monitor candidate progression through the program and identify potential barriers to completion.
The program will also review key assessment data collected within CampusFolio, including performance on major program assessments such as the Teacher Work Sample, clinical evaluations, and course-based assessments aligned to program standards. These data provide additional evidence of candidate readiness and performance across multiple points in the program.
Aggregated data from these additional sources will be reviewed annually by program faculty and leadership to identify trends, ensure program effectiveness, and inform continuous improvement efforts. These data will be used in conjunction with other required program metrics to provide a comprehensive understanding of candidate performance and program outcomes.
Table: Program Assessment and Data Collection System Overview
| Assessment/Data Source | Who | When | Frequency | Data Collected | Use of Data |
|---|---|---|---|---|---|
| VAM Scores | Completers | Annually | Annual | Student learning growth | Program effectiveness, curriculum improvement |
| APPR | Completers | Annually | Annual | Placement, retention, evaluation | Program accountability and improvement |
| Completer Survey | Completers | Year 1 | Annual | Satisfaction, preparedness | Program improvement |
| Employer Survey | Employers | Year 1 | Annual | Performance, satisfaction | Program improvement |
| 2-Year Guarantee Data | Completers | Years 1–2 | Ongoing | Support needs, remediation | Program improvement |
| Teacher Work Sample | Candidates | Internship | Once | Impact on student learning | Candidate assessment, program improvement |
| Intern Evaluation (FEAP) | Candidates | Midterm & Final | 2x per evaluator | Teaching performance | Candidate progression |
| Disposition Assessment | Candidates | Midterm & Final | 2x per evaluator | Professional behavior | Candidate progression |
| FTCE Results | Candidates | Program completion | Ongoing | Competency-level scores | Curriculum alignment |
| Placement Diversity Report | Candidates | Internship | Ongoing | School demographics | Ensure diverse placements |
| Key Assessments (TWS, etc.) | Candidates | Throughout | Ongoing | Performance data | Program improvement |
The program assures that completer and employer satisfaction survey results will be collected, aggregated, analyzed, and used to inform continuous program improvement. Findings will be shared with program faculty and stakeholders, and summary results will be made publicly available on the program's website. In addition, all required survey data and reports will be submitted annually to the Florida Department of Education through the eIPEP system in accordance with state requirements and reporting timelines.
4.2.1: The program describes the process or plan for monitoring:
All narrative responses above should include descriptions of the following:
The program implements a comprehensive and systematic process to monitor candidate performance on the Uniform Core Curricula (UCC) across both coursework and field experiences. Candidate performance is assessed through aligned coursework, key program assessments, and clinical evaluations to ensure mastery of UCC competencies and readiness for professional practice.
Responsibility for Monitoring:
Course instructors are responsible for evaluating candidate performance in UCC-aligned coursework through key assignments and course-based assessments. University supervisors and cooperating teachers are responsible for evaluating candidate performance in field experiences and the culminating internship using FEAP-aligned evaluation instruments. Program leadership, including the program coordinator and academic advisors, are responsible for overseeing the monitoring process, reviewing aggregated data, and ensuring appropriate interventions and program improvements are implemented.
Data Elements:
Data collected include scores on key assignments aligned to UCC competencies, rubric-level ratings, overall proficiency levels, and candidate performance trends across courses. Additional data elements include field experience evaluation ratings, including Intern Evaluation Forms and Professional Behavior Assessments, which measure candidate performance across FEAP domains such as instructional planning, learning environment, instructional delivery, assessment, and professional responsibility. These data provide both quantitative and qualitative evidence of candidate performance on UCC-aligned competencies.
Data Sources:
Data are collected through candidate submission of key assignments and assessments within the CampusFolio system, as well as through formal field experience evaluations completed by university supervisors and cooperating teachers. CampusFolio serves as the central repository for all candidate performance data, including coursework assessments, clinical evaluations, and program-level key assessments. Field experience data sources include FEAP-aligned evaluation instruments administered at multiple points during the internship, as described in Section 4.1.1.
Frequency and Data Storage:
Monitoring of candidate performance occurs continuously throughout each academic term as candidates complete coursework and field experiences. Course-level data are collected and entered into CampusFolio during each term, while field experience evaluations are conducted at midterm and final during the internship. All data are stored, maintained, and aggregated within CampusFolio, which allows for real-time tracking and longitudinal analysis of candidate performance.
Program faculty and leadership review candidate performance data at the end of each academic term and on an annual basis to identify trends, strengths, and areas for improvement. Candidates who receive scores below satisfactory on key assessments or evaluations are identified through CampusFolio and referred for additional review. The program coordinator and academic advisor collaborate with the candidate to develop targeted support strategies, which may include remediation, additional coursework, or structured intervention plans.
Findings from UCC performance data are used to inform continuous program improvement, including revisions to curriculum, instructional practices, and candidate support systems. This systematic monitoring process ensures that candidates demonstrate proficiency in UCC competencies and are effectively prepared to meet the expectations of the teaching profession.
The program implements a comprehensive and systematic process to monitor candidate performance on the Florida Teacher Certification Examinations (FTCE) to ensure that each candidate demonstrates the competencies and skills required for professional practice within their certification area.
Responsibility for Monitoring:
Program faculty are responsible for supporting candidate preparation within coursework aligned to FTCE competencies. The program coordinator and academic advisors are responsible for monitoring individual candidate FTCE performance, reviewing results, and identifying candidates who may require additional support. Program leadership oversees the analysis of aggregated FTCE data and ensures that findings are used to inform program improvement.
Data Elements:
Data collected include overall FTCE scores, pass/fail status, first-attempt and subsequent attempt results, and detailed competency-level performance data for each examination, including the General Knowledge Test, Professional Education Test, and relevant subject area examinations. Additional data elements include candidate performance trends across testing attempts and comparison data relative to statewide performance on individual competencies.
Data Sources:
FTCE data are obtained through the Pearson candidate performance reporting system, which provides detailed individual and aggregated score reports, including competency-level diagnostic data. These data are reviewed alongside program records and candidate progress data maintained within CampusFolio.
Frequency and Data Storage:
Monitoring of FTCE performance occurs on an ongoing basis as candidates complete required examinations throughout the program. Individual candidate results are reviewed upon receipt of score reports, and aggregated data are analyzed at the end of each academic term and annually. FTCE performance data and related candidate records are stored and maintained within CampusFolio and program data systems to support longitudinal tracking and analysis.
Candidates who do not meet required performance levels or who demonstrate weaknesses in specific competency areas are identified through this monitoring process. The program coordinator and academic advisors work collaboratively with candidates to provide targeted support, which may include focused review sessions, faculty guidance, practice assessments, and additional preparation resources aligned to FTCE competencies.
Aggregated FTCE data are reviewed annually by program faculty and leadership to identify trends in candidate performance and areas where program improvements may be needed. Findings are used to inform alignment of coursework to FTCE competencies, enhance instructional strategies, and strengthen candidate support systems. This systematic monitoring process ensures that candidates are prepared to successfully meet certification requirements and demonstrate the knowledge and skills necessary for effective teaching.
The program implements a comprehensive and systematic process to monitor candidates' impact on P–12 student learning growth during field experiences and the culminating internship. This process ensures that candidates demonstrate the ability to positively influence student learning through data-driven instruction and reflective practice.
Responsibility for Monitoring:
University supervisors and cooperating teachers are primarily responsible for monitoring candidates' impact on student learning during field experiences and the internship. They evaluate candidate performance through direct observation, assessment of instructional practices, and review of student learning data. Program faculty support this process through coursework and assessment design, while the program coordinator and academic advisors oversee the monitoring process, review aggregated data, and ensure that appropriate interventions and program improvements are implemented.
Data Elements:
Data collected include candidate performance on Teacher Work Samples, including pre- and post-assessment results, analysis of student learning gains, subgroup performance data, and evidence of instructional decision-making. Additional data elements include evaluation ratings related to student learning impact on FEAP-aligned Intern Evaluation Forms, including indicators such as use of assessment data, monitoring student progress, and demonstration of measurable student learning gains. Qualitative data, such as reflective narratives and supervisor feedback, are also collected to provide evidence of candidate impact on student learning.
Data Sources:
Data are collected through multiple sources, including Teacher Work Samples submitted in CampusFolio, formal evaluations completed by university supervisors and cooperating teachers, and candidate coursework and clinical artifacts. CampusFolio serves as the central repository for all candidate assessment data, including student learning evidence, evaluation scores, and supporting documentation. Field experience evaluations and observation data are collected at multiple points during the internship, as described in Section 4.1.1.
Frequency and Data Storage:
Monitoring occurs continuously throughout field experiences and the culminating internship. Teacher Work Sample data are collected during the internship, while formal evaluations by university supervisors and cooperating teachers are conducted at midterm and final. Ongoing observations and feedback sessions provide additional monitoring throughout the clinical experience. All data are stored, maintained, and aggregated within CampusFolio, allowing for continuous tracking and longitudinal analysis of candidate performance.
Candidates who demonstrate limited impact on student learning, as evidenced by assessment data or evaluation ratings, are identified through this monitoring process. University supervisors and cooperating teachers, in collaboration with the program coordinator and academic advisors, provide targeted support and intervention, which may include additional coaching, focused feedback, and structured improvement plans.
Aggregated data on candidate impact on student learning are reviewed at the end of each academic term and annually by program faculty and leadership to identify trends, strengths, and areas for improvement. Findings are used to inform continuous program improvement, including enhancements to coursework, clinical experiences, and candidate support systems. This systematic monitoring process ensures that candidates are prepared to effectively support and improve P–12 student learning outcomes.
The program implements a comprehensive and systematic process to monitor additional program expectations beyond coursework, certification, and student learning outcomes. These expectations include candidate professional dispositions, adherence to program requirements, progression through program milestones, and participation in diverse clinical experiences. This monitoring process ensures that candidates demonstrate the professional behaviors, readiness, and experiences required for success in the teaching profession.
Responsibility for Monitoring:
Course instructors, university supervisors, and cooperating teachers are responsible for monitoring candidate professional behaviors and performance within coursework and field experiences. Program faculty support monitoring through assessment design and evaluation of candidate progress. The program coordinator and academic advisors are responsible for overseeing candidate progression, reviewing data, identifying concerns, and ensuring that appropriate interventions and supports are implemented.
Data Elements:
Data collected include professional disposition ratings, attendance and participation records, adherence to program requirements, completion of program milestones, and candidate progression data. Additional data elements include placement information related to field experiences, including school demographics, grade levels, and diversity indicators such as student ethnicity, English Language Learner status, and socioeconomic status. These data provide evidence of candidate readiness, professional conduct, and exposure to diverse learning environments.
Data Sources:
Data are collected through multiple sources within the CampusFolio system, including Professional Behavior (Disposition) Assessments, field experience and internship placement records, and candidate progression tracking tools. CampusFolio incorporates embedded school demographic data, allowing the program to monitor placement diversity and ensure candidates experience a range of educational settings. Additional data sources include course records, advisor reports, and program-level tracking systems.
Frequency and Data Storage:
Monitoring occurs continuously throughout the program as candidates progress through coursework, field experiences, and key program milestones. Disposition assessments and field experience data are collected during each term, with formal evaluations conducted at midterm and final during the internship. Placement data are entered at the time of assignment and monitored throughout the clinical experience. All data are stored, maintained, and aggregated within CampusFolio, which serves as the central system for tracking candidate performance and program outcomes.
CampusFolio generates reports and flags when candidates do not meet program expectations, including concerns related to professional dispositions, progression, or placement diversity. Candidates identified through this process are referred for additional review. The program coordinator and academic advisors collaborate with faculty, university supervisors, and cooperating teachers to provide targeted support, which may include advising, remediation, or structured intervention plans.
Aggregated data related to these program expectations are reviewed at the end of each academic term and annually by program faculty and leadership to identify trends and ensure program effectiveness. Findings are used to inform continuous program improvement, including enhancements to candidate support systems, clinical placement processes, and program policies. This systematic monitoring process ensures that candidates meet all program expectations and are fully prepared for successful entry into the teaching profession.
4.2.2: The program describes the process or plan for providing remediation for candidates not meeting program performance expectations.
The program implements a comprehensive and systematic remediation process to support candidates who do not meet program performance expectations in coursework, clinical practice, certification requirements, or professional dispositions. This process is aligned with best practices in educator preparation and is designed to provide early identification, targeted intervention, and continuous monitoring to ensure candidate success.
Identification of Candidates Needing Remediation:
Candidates are identified for remediation through ongoing monitoring systems described in Section 4.2.1, including performance on UCC-aligned coursework, FTCE results, impact on student learning, and professional expectations. Candidates who receive ratings below satisfactory on key assessments, clinical evaluations, FTCE competencies, or disposition assessments are flagged within the CampusFolio system or identified by faculty, university supervisors, or cooperating teachers.
Responsibility for Remediation:
The remediation process is a collaborative effort involving program faculty, university supervisors, cooperating teachers, the program coordinator, and academic advisors. University supervisors and cooperating teachers play a critical role in identifying performance concerns during field experiences, while program faculty identify concerns within coursework. The program coordinator oversees the remediation process, ensures consistency, and monitors candidate progress.
Development of a Remediation Plan:
Once a candidate is identified, a formal remediation process is initiated. A meeting is conducted with the candidate, university supervisor, cooperating teacher (if applicable), program coordinator, and/or academic advisor to review areas of concern. Following this meeting, an individualized remediation plan (e.g., Student Improvement Plan) is developed.
The remediation plan includes:
This structured approach ensures that remediation is targeted, measurable, and aligned to program expectations.
Implementation and Monitoring of Remediation:
The candidate's progress is monitored continuously throughout the remediation period. University supervisors and cooperating teachers conduct ongoing observations and provide feedback during field experiences, while faculty monitor progress in coursework. Regular meetings are held with the candidate to review progress toward established goals.
Progress monitoring includes:
Monitoring occurs at defined intervals, as outlined in the remediation plan, and continues until the candidate demonstrates satisfactory performance.
Data Sources and Storage:
All remediation-related data, including evaluation results, remediation plans, progress documentation, and outcomes, are stored within CampusFolio and program records. These data are used to track individual candidate progress and to inform program-level analysis of remediation trends.
Outcomes and Continuous Improvement:
Upon completion of the remediation plan, candidate performance is formally reviewed. Candidates who demonstrate improvement and meet program expectations are returned to good standing. Candidates who do not meet expectations may be subject to additional remediation, reassignment of field placement, or dismissal from the program, in accordance with program policies.
Aggregated remediation data are reviewed annually by program faculty and leadership to identify patterns in candidate performance and areas where additional program support may be needed. Findings are used to inform continuous program improvement, including revisions to coursework, clinical experiences, and candidate support systems.
4.3.1: The program describes the process or plan, and the evidence used to monitor the quality of the following:
Monitoring the Quality of Coursework, Clinical Connections, Supervision, and Training
The program implements a comprehensive and systematic process to monitor the quality of coursework, the alignment between coursework and field experiences, the effectiveness of observation and feedback provided to candidates, and the training of university supervisors and cooperating teachers. This process ensures program coherence, high-quality clinical experiences, and continuous program improvement.
Monitoring the Quality of Coursework
The program monitors the quality of coursework through the systematic review of candidate performance on key assessments, course-based assignments, and alignment to the Uniform Core Curricula (UCC), Florida Educator Accomplished Practices (FEAPs), and FTCE competencies. Coursework quality is evaluated through candidate performance data, including rubric-based assessments, course completion rates, and progression data collected within the CampusFolio system.
Program faculty and the program coordinator review aggregated course-level data at the end of each academic term and annually to identify trends in candidate performance. Particular attention is given to courses aligned to FTCE competencies and professional preparation standards. Findings are used to inform revisions to course content, instructional strategies, and assessment design to ensure that coursework effectively prepares candidates for clinical practice and certification requirements.
Monitoring Connections Between Coursework and Field Experiences
The program ensures strong alignment between coursework and field experiences by embedding clinical applications and performance-based assessments, such as the Teacher Work Sample, within the curriculum. Candidate performance in both coursework and clinical settings is analyzed to ensure coherence between theoretical preparation and practical application.
Program faculty, university supervisors, and cooperating teachers collaborate to monitor candidate ability to apply knowledge and skills learned in coursework within field experiences. Data sources include course assessments, field evaluations, and candidate artifacts submitted through CampusFolio.
Research emphasizes that high-quality teacher preparation programs require strong alignment between coursework and clinical experiences to improve candidate effectiveness and preparedness. The program uses this aligned data to identify gaps between instruction and practice and to make targeted improvements to coursework and clinical design.
Monitoring Observation and Feedback Provided to Candidates
The program monitors the quality of observation and feedback provided to candidates through structured evaluation processes during field experiences and the culminating internship. University supervisors and cooperating teachers conduct formal observations and provide written and verbal feedback using standardized, FEAP-aligned evaluation instruments.
Candidates receive multiple observations at defined intervals (e.g., midterm and final), along with ongoing informal feedback. Research indicates that frequent observations combined with actionable feedback improve candidate effectiveness and instructional practice.
Program leadership reviews evaluation data, feedback quality, and candidate progress to ensure that feedback is consistent, timely, and aligned to program expectations. Candidate performance trends and evaluation data are analyzed to assess the effectiveness of supervision and to inform improvements in observation practices.
Monitoring Training of University Supervisors and Cooperating Teachers
The program ensures the quality of supervision by providing training and clear expectations for university supervisors and cooperating teachers. Training includes orientation to program requirements, evaluation instruments, FEAP alignment, and effective mentoring practices.
Research shows that cooperating teachers require specific training to effectively mentor candidates and provide meaningful feedback. The program monitors the effectiveness of this training through evaluation data, candidate feedback, and supervisor performance.
Program leadership reviews feedback from candidates and supervisors to assess the consistency and quality of mentoring and evaluation practices. Findings are used to improve training content, clarify expectations, and strengthen collaboration between the university and partner schools.
Types of Evidence Collected to Monitor Program Quality
The program collects multiple sources of evidence to monitor the quality of coursework, clinical experiences, supervision, and training, including:
All evidence is collected, stored, and analyzed within CampusFolio and program data systems to support ongoing monitoring and continuous improvement.
4.4.1: The program describes how aggregated data listed in Criterion 4.1.1 will be analyzed to identify areas of needed improvements and drive decisions for programmatic enhancements.
The program implements a comprehensive and systematic continuous improvement process that utilizes aggregated data from multiple sources to evaluate program effectiveness, identify areas for improvement, and inform programmatic enhancements. Data collected under Criterion 4.1.1, including candidate performance, completer outcomes, certification results, and stakeholder feedback, are analyzed on a regular basis to support data-driven decision-making.
Data Analysis Process and Responsibility:
Program faculty, the program coordinator, and program leadership are responsible for the analysis of aggregated data. Data are compiled and organized within the CampusFolio system, which serves as the central data management platform for the program. At the end of each academic term and annually, program faculty and leadership conduct structured data review meetings to examine candidate and completer performance across all key assessment areas.
Data sources reviewed include Value-Added Model scores, Annual Program Performance Report data, completer and employer satisfaction surveys, FTCE competency-level results, Teacher Work Sample outcomes, clinical evaluation data, disposition assessments, and additional program-level data such as candidate progression and placement diversity reports.
Identification of Areas for Improvement:
During the data review process, faculty and leadership analyze trends, patterns, and performance gaps across cohorts and assessment measures. Particular attention is given to areas where candidate or completer performance falls below established benchmarks, state averages, or program expectations. Disaggregated data are used to identify specific areas of need, including performance by competency, course, or assessment type.
Decision-Making and Programmatic Enhancements:
Findings from data analysis are used to inform programmatic decisions and targeted improvements. Program faculty collaboratively develop action plans to address identified areas of need. These actions may include revisions to coursework, alignment of curriculum to UCC and FTCE competencies, enhancements to clinical experiences, modifications to assessment instruments, and expansion of candidate support systems such as tutoring, coaching, and use of the AI-powered FTCE preparation platform.
Program leadership ensures that all decisions are documented and aligned with program goals and state requirements. Changes are communicated to faculty and implemented within the appropriate courses, clinical experiences, or support structures.
Implementation and Monitoring of Improvements:
Programmatic changes are implemented in a structured and timely manner, and their effectiveness is monitored through subsequent data collection cycles. Faculty and leadership track the impact of implemented changes by comparing new data with previous performance trends to determine whether improvements have resulted in increased candidate success and program effectiveness.
Data Storage and Continuous Cycle:
All data and analysis results are stored within CampusFolio and program records to support longitudinal tracking and ongoing evaluation. The program maintains a continuous improvement cycle in which data collection, analysis, decision-making, implementation, and re-evaluation occur on a regular and systematic basis.
This continuous improvement process ensures that the program remains responsive to candidate needs, aligned with state standards, and committed to preparing effective educators who positively impact P–12 student learning.
4.4.2: The program describes how completer and employer satisfaction surveys will be used for continuous improvement.
Use of Completer Satisfaction Survey Data for Continuous Improvement
The program systematically collects, aggregates, and analyzes completer satisfaction survey data to evaluate how well the program prepares candidates for the realities of the classroom and to inform continuous program improvement.
Completer survey data are collected annually and include both quantitative ratings and qualitative feedback aligned to the Florida Educator Accomplished Practices (FEAPs) and key areas of program preparation, including instructional planning, classroom management, assessment practices, and professional responsibilities. These data are compiled and stored within the program's data management system, CampusFolio, and are reviewed as part of the program's annual data analysis cycle.
Program faculty, the program coordinator, and program leadership are responsible for analyzing aggregated completer survey results. Data are examined to identify trends in completer perceptions of preparedness, including strengths and areas where completers report lower levels of readiness. Particular attention is given to areas related to classroom realities, such as managing student behavior, differentiating instruction, supporting diverse learners, and using assessment data to guide instruction.
Qualitative feedback from completers is also reviewed to provide additional context and insight into program strengths and areas needing improvement. This feedback is used to identify specific gaps in preparation that may not be evident through quantitative data alone.
Findings from completer survey data are used to inform programmatic enhancements, including revisions to coursework, improvements to clinical experiences, and expansion of candidate support systems. For example, if completers indicate a need for additional preparation in classroom management or working with diverse learners, program faculty may revise course content, incorporate additional practice opportunities, or enhance field experience requirements.
The program monitors the impact of implemented changes by comparing survey results across successive years to determine whether improvements have resulted in increased levels of completer satisfaction and perceived preparedness. This ongoing analysis ensures that completer feedback is used effectively to strengthen program quality and better prepare future candidates for success in the classroom.
Use of Employer Satisfaction Survey Data for Continuous Improvement
The program systematically collects and analyzes employer satisfaction survey data to evaluate the effectiveness of program completers in the field and to assess the program's responsiveness to the needs of local school districts.
Employer surveys are administered annually and gather feedback from school administrators and supervising personnel regarding the performance of program completers. Survey items are aligned to the Florida Educator Accomplished Practices and focus on key areas such as instructional effectiveness, classroom management, professionalism, collaboration, and impact on student learning. Data include both quantitative ratings and qualitative feedback.
Aggregated employer survey data are compiled and stored within CampusFolio and are reviewed annually by program faculty, the program coordinator, and program leadership. Analysis focuses on identifying trends in employer satisfaction, including areas where completers consistently meet or exceed expectations and areas where improvement may be needed.
Employer feedback is also used to assess the program's alignment with district needs and expectations. The program places particular emphasis on responsiveness to local school districts by examining feedback related to candidate readiness, professional skills, and the ability to support diverse student populations.
Qualitative responses from employers are reviewed to gain deeper insight into specific strengths and areas for improvement. This feedback is used to identify opportunities to strengthen program alignment with workforce expectations and to enhance partnerships with local school districts.
Findings from employer survey data are used to inform programmatic decisions, including adjustments to curriculum, enhancement of clinical experiences, and refinement of candidate preparation in areas identified as needing improvement. The program also uses these data to strengthen collaboration with school partners and ensure that program outcomes align with the needs of the communities served.
The program monitors changes over time by comparing employer satisfaction data across multiple years to evaluate the effectiveness of implemented improvements. This continuous feedback loop ensures that employer input is used to maintain program relevance, improve completer performance, and support positive outcomes for P–12 students.
4.4.3: The program describes the roles and responsibilities of stakeholders that will be part of the continuous program improvement process and how their input will be used for enhancing the program.
Identification of Stakeholders
The program engages a diverse group of internal and external stakeholders in its continuous improvement process to ensure program quality, relevance, and alignment with state and local educational needs. Key stakeholders include:
These stakeholders provide valuable perspectives on candidate preparation, program effectiveness, and workforce needs, contributing to a comprehensive evaluation of the program.
Stakeholder Roles and Responsibilities
Each stakeholder group plays a defined role in the continuous improvement process.
Program faculty are responsible for analyzing candidate performance data, reviewing assessment results, and implementing programmatic changes within coursework and clinical experiences. The program coordinator and program leadership oversee the continuous improvement process, facilitate data review meetings, ensure alignment with state requirements, and monitor the implementation of program enhancements.
Academic advisors support candidate progression and provide insight into candidate needs and challenges, particularly related to retention, remediation, and program completion. Program candidates and completers contribute feedback through surveys and program evaluations, providing insight into their preparation and readiness for the classroom.
Employers, including school administrators and district representatives, provide feedback on the performance of program completers and the program's responsiveness to district needs. Their input is critical in ensuring that the program remains aligned with workforce expectations and local educational priorities.
University supervisors and cooperating teachers play a key role in evaluating candidate performance during field experiences and providing ongoing feedback on candidate readiness, instructional effectiveness, and professional behavior. They also provide insight into the quality of clinical experiences and the effectiveness of program preparation in real-world settings.
Partner school districts collaborate with the program to support clinical placements, provide feedback on program effectiveness, and contribute to ongoing program alignment with district needs.
Process for Using Stakeholder Input for Programmatic Improvement
The program utilizes a formal and systematic process to incorporate stakeholder input into continuous program improvement. Stakeholder feedback is collected through multiple sources, including completer and employer satisfaction surveys, candidate evaluations, field experience feedback, and ongoing communication with university supervisors, cooperating teachers, and district partners.
All stakeholder input is aggregated and reviewed as part of the program's annual data analysis cycle. Program faculty, the program coordinator, and program leadership analyze both quantitative and qualitative data to identify trends, strengths, and areas for improvement. Particular attention is given to areas where stakeholder feedback indicates gaps in candidate preparation or alignment with district needs.
Findings from stakeholder input are used to develop targeted action plans for program improvement. These may include revisions to coursework, enhancements to clinical experiences, adjustments to assessment practices, improvements to candidate support systems, and increased alignment with district priorities.
Program leadership ensures that all decisions and resulting changes are documented and communicated to relevant stakeholders. The effectiveness of implemented changes is monitored through subsequent data collection cycles, including follow-up survey results and performance data, to determine whether improvements have resulted in increased stakeholder satisfaction and improved candidate outcomes.
This structured process ensures that stakeholder input is meaningfully integrated into program decision-making and that the program remains responsive, relevant, and continuously improving.