Using GenAI Tools to Redesign Online Math Tutoring Resources for Elementary and Middle School Students

Presenter: Aubrey Coyne

Faculty Sponsor: Robert W. Maloy

School: UMass Amherst

Research Area: Education & Educational Research

Session: Poster Session 4, 2:15 PM - 3:00 PM, Auditorium, A13

ABSTRACT

One-on-one tutoring is widely promoted as an effective solution for students who need support or enrichment in mathematics. However, there are limited resources specifically designed for tutoring contexts in virtual environments. Many tutors turn to educational marketplaces like Teacher Pay Teachers (TpT), despite the fact that most available materials on the platform are designed for whole-class instruction and do not prioritize accessibility or personalization.

In this case study, I analyzed 20 TpT triangle learning activities – a widely taught math content area in fifth-grade geometry – to evaluate their alignment with Universal Design for Learning (UDL) principles of multiple means of engagement, representation, and expression. The findings revealed limited evidence of UDL-aligned features across the activities. I then examined how Generative Artificial Intelligence (GenAI) tools produced activities for the same mathematical topics using both basic and strategically developed prompts that can provide tutors with UDL-based learning activities to engage students in math learning in online settings. 

The final outcome of this study is a compilation of strategies to help tutors navigate the currently available online resources, effectively prompt GenAI tools, and make informed instructional decisions to design personalized and accessible activities for students.

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