Development of Adaptive Learning Modules for an Undergraduate Engineering Course

Track: Student Success & Wellness Adaptive and personalized learning modules were developed for an undergraduate Thermal-Fluid Sciences course using Moodle, the primary learning management system for NC State University. This work was a collaboration with the Digital Education and Learning Technology Applications Division at the university as part of an internal university grant. The Moodle lesson tool was used to create modules on the first and second laws ofthermodynamics that students completed outside of class time. Artificial intelligence tools were also used to generate ideas and customized learning paths for students. The structure of the adaptive learning modules as well as the potential challenges and considerations faculty face when using these tools are discussed. Student engagement and feedback is also included to assess the effectiveness of these modules.

Publication Details

Journal
Dialogues in Social Justice: An Adult Education Journal (The University of North Carolina at Charlotte)
Published
2025-10-16
Primary Topic
Learning Styles and Cognitive Differences
Type
article
Field-Weighted Citation Impact
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article

Development of Adaptive Learning Modules for an Undergraduate Engineering Course

Dialogues in Social Justice: An Adult Education Journal (The University of North Carolina at Charlotte)
Learning Styles and Cognitive Differences
article

Development of Adaptive Learning Modules for an Undergraduate Engineering Course

article en

Abstract

Track: Student Success & Wellness Adaptive and personalized learning modules were developed for an undergraduate Thermal-Fluid Sciences course using Moodle, the primary learning management system for NC State University. This work was a collaboration with the Digital Education and Learning Technology Applications Division at the university as part of an internal university grant. The Moodle lesson tool was used to create modules on the first and second laws ofthermodynamics that students completed outside of class time. Artificial intelligence tools were also used to generate ideas and customized learning paths for students. The structure of the adaptive learning modules as well as the potential challenges and considerations faculty face when using these tools are discussed. Student engagement and feedback is also included to assess the effectiveness of these modules.

Dialogues in Social Justice: An Adult Education Journal (The University of North Carolina at Charlotte)
Quality Education
Openalex Percentile: Top 32%
Learning Styles and Cognitive Differences
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