Using Generative AI to Design Differentiated Learning in a General Education Course
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Authors
Han Nee Chong
Issue Date
2025-09
Type
Article
Language
en_US
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Alternative Title
Abstract
This design case explores an instructor's experience redesigning her course using generative artificial intelligence (GenAI) tools to facilitate differentiated learning. The course is part of a general education program that draws students from various disciplines, aiming to create unique, interdisciplinary learning experiences that allow each student to engage meaningfully with the content. The redesign process followed the ADDIE (Analyze, Design, Develop, Implement, and Evaluate) model, incorporating differentiated instructional strategies that leverage GenAI for tasks such as researching current leadership trends, crafting learning outcomes, outlining content, and creating assessments tailored to students' diverse mastery levels. This design case reflects on the decisions made during the course redesign process, presents some impact assessments, and discusses critical factors affecting implementation.
Description
Citation
Chong, H.N. (2025) Using Generative AI to Design Differentiated Learning in a General Education Course. Educational Designer, 5(19). ISSN 1759-1325 Retrieved from: http://www.educationaldesigner.org/ed/volume5/issue19/article82/
Publisher
Educational Designer
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Journal
Volume
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PubMed ID
DOI
ISSN
1759-1325