Integrating AI Literacy into Math Education: A Study on AI Self-Efficacy and Math Motivation

• In Event: AER Roundtable Session Friday 1:45 pm - Gold 4
  In Roundtable Session: Using AI to Learn in Multi-lingual Contexts

Abstract

This study piloted a virtual, story-based AI learning module on middle and high school students’ AI self-efficacy, conceptual understanding, and math motivation. Grounded in the AI4K12 framework, the module engaged 80 students in revising and testing a sentiment analysis model while exploring core AI concepts such as representation, learning, and societal impact. Pre- and post-survey results showed significant gains in AI self-efficacy and math motivation , along with improved understanding of key AI ideas. The module’s virtual delivery enabled participation from a diverse student population, including those in under-resourced settings. Findings suggest that integrating AI into core subjects like math can broaden access to AI literacy.

Authors

• Linlin Li, WestEd

• Jie Chao, The Concord Consortium

• Trudi Lord, Concord Consortium

• Rebecca Ellis, The Concord Consortium

• Kelly Collins, WestEd

• Wanli Xing, University of Florida

• yuanlin zhang, Texas Tech University

• April Fleetwood, Florida Virtual School