Using Generative AI to Design Differentiated Learning in a General Education Course
Year: 2025
Type: article
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.
Author: Chong, Han Nee
Institution: Hawaii Pacific University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7082643699
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