Event Information
Session Outline:
Introduction and Poll (5 minutes)
Activity: Interactive poll on familiarity with AI and UDL.
Purpose: Gauge baseline knowledge and tailor content.
Overview of AI and UDL (10 minutes)
Activity: Presenter-led discussion with visual aids.
Purpose: Provide foundational knowledge and context.
Engagement, Representation, and Action & Expression using CAST Guidelines (10 minutes)
Activity: Explore how AI can enhance student engagement by identifying interests and providing interactive content. Participants will use AI tools to design activities that motivate and engage students based on their preferences.
Purpose: Demonstrate how AI can personalize engagement and sustain student interest.
Representation (10 minutes)
Activity: Use AI to provide multiple means of representation, such as converting text to multimedia or translating complex concepts into accessible formats. Participants will practice using AI tools to modify instructional content for diverse learning needs.
Purpose: Show how AI supports diverse ways of presenting information to meet varied learner needs.
Action & Expression (10 minutes)
Activity: Leverage AI tools to offer various methods for students to express understanding, such as creating videos, interactive presentations, or AI-assisted projects. Participants will experiment with different AI applications to enable students to demonstrate knowledge in multiple ways.
Purpose: Enable educators to provide varied, student-driven options for assessment and expression.
Reflective Poll and Wrap-up (10 minutes)
Activity: Use a poll to assess understanding of AI and UDL integration, followed by open Q&A. Participants will reflect on how they can apply the session’s insights to their practice.
Purpose: Gather feedback, address any remaining questions, and reinforce key takeaways.
Time Allocation Summary (60 minutes):
Introduction and Poll: 10 minutes
Overview: 10 minutes
Engagement: 10 minutes
Representation: 10 minutes
Action & Expression: 10 minutes
Reflection and Wrap-up: 10 minutes
References
CAST. (2018). The UDL Guidelines. Retrieved from https://udlguidelines.cast.org
CAST. (2024). About Universal Design for Learning. Retrieved from https://www.cast.org/impact/universal-design-for-learning-udl
Ismailov, M., & Chiu, T. K. F. (2022). Catering to inclusion and diversity with Universal Design for Learning in asynchronous online education: A self-determination theory perspective. Frontiers in Psychology, 13, Article 819884. https://doi.org/10.3389/fpsyg.2022.819884
King-Sears, M. E., Stefanidis, A., Evmenova, A. S., Rao, K., Mergen, R. L., Owen, L. S., & Strimel, M. M. (2023). Achievement of learners receiving UDL instruction: A meta-analysis. Teaching and Teacher Education, 122, 103956. https://doi.org/10.1016/j.tate.2022.103956
Meyer, A., Rose, D. H., & Gordon, D. (2014). Universal design for learning: Theory and practice. CAST Professional Publishing. Retrieved from https://www.cast.org/products-services/resources/2014/universal-design-learning-theory-practice-udl-meyer
Pack, J. (2024, April 1). Using AI to enhance Universal Design for Learning. Edutopia. Retrieved from https://www.edutopia.org/article/using-ai-enhance-universal-design-learning