PERC 2022 Abstract Detail Page
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| Abstract Title: | Causal mapping analysis of Universal Design for Learning-aligned instructional changes |
|---|---|
| Abstract Type: | Contributed Poster Presentation |
| Abstract: | Universal Design for Learning (UDL) is a framework that supports instructors in designing inclusive learning environments that anticipate and plan for variations in students' needs, abilities, and interests. UDL-aligned instructional practices may reduce the need for accommodations for some students with disabilities. The UDL Guidelines have three main principles: multiple means of representation, multiple means of action and expression, and multiple means of engagement. In this study, we explore postsecondary physics instructors' approaches to adapting their teaching and learning environment while engaged in a year-long UDL learning community. Revealed causal mapping (RCM) is an analytic technique that uncovers experts' mental maps about their subject domain. We employ RCM to value instructors' knowledge and experiences and identify motivations and goals of the learning community members as they select, implement, and reflect on aligning their instructional practices with the UDL Guideline for multiple means of engagement. |
| Session Time: | Poster Session 3 |
| Poster Number: | III-50 |
Author/Organizer Information | |
| Primary Contact: |
Julia Willison University of Central Florida Orlando, FL 32817 Phone: 19899417303 |
| Co-Author(s) and Co-Presenter(s) |
Westley James, Lake Mary High School Erin M. Scanlon, University of Connecticut-Avery Point Jacquelyn J. Chini, University of Central Florida |
