Generative AI and SRSD in Mathematics: A Pilot Study for Students with Learning Disabilities

• In Event: AERA Roundtable Session Sunday 7:45 am - Gold 2
  In Roundtable Session: Innovative Approaches to Mathematics Instruction for Students with Disabilities

Abstract

This study investigates the effects of a mathematics intervention that integrated a generative AI tool into Self-Regulated Strategy Development for three tenth-grade students with learning disabilities in mathematics. The intervention consisted of seven lessons in which students learned a problem-solving strategy and self-regulation skills to meaningfully interact with a generative AI tool (i.e., Math Solver) to solve word problems involving the Pythagorean Theorem. A single-case multiple-probe design across participants was employed to examine the intervention’s effectiveness across baseline, intervention, and maintenance phases. Results indicated that participants’ math performance improved during the intervention and that they maintained the acquired skills; however, the extent of improvement varied across individuals. Implications for research and practice will be discussed during the presentation.

Authors

• Jiyeon Park, Eastern Kentucky University

• Joo Young Lee, University of Maine

• Kimberly Seale, Model Laboratory Schools at Eastern Kentucky University