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97D40 Transforming College Algebra Through ALEKS, Adaptive Learning, and Artificial Intelligence

Nelly Belinga <nbelinga@ung.edu>, University of North Georgia

Abstract:

College Algebra is a gateway course that presents significant challenges, such as varying student preparedness and math anxiety. This session explores the potential of ALEKS, an adaptive learning platform, integrated with artificial intelligence (AI), to enhance student engagement and learning outcomes. By examining classroom implementation and data-driven practices, this presentation demonstrates how ALEKS offers personalized learning paths, real-time diagnostic insights, and efficient remediation. It will also address AI’s role in adaptive sequencing, feedback, and supporting equitable instruction. Participants will leave with actionable strategies for leveraging ALEKS to foster deeper mathematical understanding in College Algebra while aligning with desired learning outcomes.

Notes:

Description of the Session

This session is designed for mathematics faculty teaching College Algebra or related introductory courses who are interested in leveraging adaptive learning and AI-enhanced tools to support diverse learners.

Scheduled for: 2026-03-28 11:20 AM: Practical AI Session #2.5

Status: Accepted

Collection: Classroom Considerations: Practical AI and Alternative Assessment

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