A Data-Based Professional Development Evolution Story.

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Presentation transcript:

A Data-Based Professional Development Evolution Story

Traditional Professional Development

Basic Foundation Effectiveness Of PD Components COMPONENTAPPLICATION RATE Theory5-10% Modeling5-10% Practice10-15% Coaching Study Teams Peer Visits 80-90% Joyce & Showers 5 Levels of PD Evaluation 1.Participant's Reactions 2.Participant’s Learning 3.Organization’s Support & Change 4.Participant’s Use of New Knowledge & Skills 5.Student Outcomes Guskey, 2000

Basic Package PD Design Phase 1: Co-Teaching Partnership Session (Foundation) Phase 2: Co-Teaching Building Leadership Team Session (System Support) Phase 3: Follow Up Supports – Webinars – “Hands-On” Session – Onsite Coaching Implementation Evaluation Process

Evaluation PurposeData SourceTimeline Participants’ Reaction Session EvaluationsEnd of Session System Support & Change Pre & Post Needs Assessment/Action Planning Checklist Fall & End of Year Classroom Application Pre & Post Colorado Assessment of Co- Teaching (CO-ACT) Fall & End of Year Student OutcomesGrades of Students with & without Disabilities End of Year Schools Receive Individual Pre/Post Evaluation Summary Reports Dr. Lisa Dieker & Dr. Cynthia Pearl, Co-Teaching Researchers University of Central Florida

Refining the Plan SPDG Evidence Based Performance & Program Measures 80% Evidence- Based PD Components Score 3 or 4 by 4 th Year 100% Cohort Schools 80% of Action Planning Checklist “somewhat in place” Program Measure 1: Program Measure 2:

Refining Process Collect & Analyze Data Identify Focus ImplementEvaluateRefine

The Evolution of Data Sources Disaggregated Progress Monitoring Pre/Post

The Evolution of Professional Developers/Coaches PD Sessions Feedback Coaching Sessions Feedback Peer Coaching

The Evolution of Supports Classroom Data Collection Tool School Specific Data Plan Basic Implementation Evaluation Process

The Evolution of Participants’ Responsibilities Customized Evaluation Progress Monitoring Publish Results Commitment to Projects’ Implementation Evaluation

Plans for the Future Focus Differentiated Supports Publishing Opportunities Longitudinal Data Plan