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These submissions were received from Advance HE members as part of the AI Garage member benefit project in 2023 - 24. This project aims to provide a snapshot of the different kinds of AI projects in progress within the sector, as such we cannot take responsibility for the content of the submissions themselves. Projects featured here are not endorsed or supported by Advance HE. Please reach out directly to the teams to find out more about their work. Find out more about the project.

Please note that we will upload new submissions on a weekly basis to ensure that we have a constant flow of new resources for the sector. 

 

AI Garage - Implementation of Universal Design for Learning with ChatGPT as the Learning Design Co-Pilot

Implementation of Universal Design for Learning with ChatGPT as the Learning Design Co-Pilot 

Lead institution: The University of Hong Kong 

Country: Hong Kong 

Project primary contact: Dr Chi-Un LEI (culei@hku.hk), Senior Lecturer 

Additional contact: Dr Xiao HU 

Project Title: Implementation of Universal Design for Learning with ChatGPT as the Learning Design Co-Pilot

The project is: In progress

Project Summary: 

Universal Design for Learning (UDL) is an approach to designing instruction and materials, which focuses on making learning accessible to all students, regardless of their backgrounds, abilities, or learning styles. To implement UDL in classes, instructors should provide various options for perceiving, processing, and responding to information.  

However, there are common challenges in adopting UDL, including limited support and lack of training. This project aims to explore the effectiveness of using ChatGPT in implementing UDL effectively. In particular, i) how can ChatGPT be integrated into the course design to support UDL principles? ii) How effective is ChatGPT in addressing the common challenges faced when implementing UDL? The implementation in the study consists of three stages of using ChatGPT: i) promptly compiling a course textbook and study aids, ii) redesigning accessible and inclusive learning activities based on the UDL framework, and iii) personalizing learning materials based on the UDL framework. The effectiveness of adopting ChatGPT for UDL implementation will be evaluated using a postgraduate-level educational data mining course. The findings of the study can help teachers design courses with improved accessibility, reduced barriers to learning, greater inclusivity, increased engagement, and enhanced learning outcomes. 

Impact: Using ChatGPT in implementing UDL effectively in courses and making courses more accessible 

Audience: Teachers who want to make courses more accessible to students with various learning styles and needs.

This output is part of a member project - AI Garage: Creating the Future Now which collects and curates cutting-edge practice examples of AI. You can explore other submissions here.

Resource type:
Institution:
University of Hong Kong