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Published byJustin Newman Modified over 8 years ago
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A Data-Based Professional Development Evolution Story
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Traditional Professional Development
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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
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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
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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
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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:
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Refining Process Collect & Analyze Data Identify Focus ImplementEvaluateRefine
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The Evolution of Data Sources Disaggregated Progress Monitoring Pre/Post
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The Evolution of Professional Developers/Coaches PD Sessions Feedback Coaching Sessions Feedback Peer Coaching
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The Evolution of Supports Classroom Data Collection Tool School Specific Data Plan Basic Implementation Evaluation Process
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The Evolution of Participants’ Responsibilities Customized Evaluation Progress Monitoring Publish Results Commitment to Projects’ Implementation Evaluation
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Plans for the Future Focus Differentiated Supports Publishing Opportunities Longitudinal Data Plan
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