Mathematics Teachers’ Use of Generative AI to Create Active Learning Experiences

Authors

  • Candace Walkington Southern Methodist University
  • Katie Bainbridge OpenStax, Rice University

Keywords:

generative AI, large language models, mathematics education, generative learning

Abstract

Generative AI tools have arisen as important supports to assist teachers with planning instruction. One important way that GenAI can assist teachers in lesson planning is by allowing them to incorporate more “active learning” into their instruction, which we refer to here as “generative learning.” In the present chapter, we explore mathematics teachers (n=16) using GenAI to adapt a task they are using in their classroom to incorporate generative learning and also explore GenAI as support as teachers themselves engage in a novel generative learning task related to lesson design. We find that teachers appreciate the creative affordances of generative AI to support generative learning activities but worry about time efficiency, usability, and accuracy, as well as a variety of important big-picture issues. Five implications for policy and practice are given.

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Published

2025-04-23

How to Cite

Walkington, C., & Bainbridge, K. (2025). Mathematics Teachers’ Use of Generative AI to Create Active Learning Experiences. Social Innovations Journal, 30(2). Retrieved from https://socialinnovationsjournal.com/index.php/sij/article/view/9994

Issue

Section

AI-Driven Personalization and Adaptive Learning

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