Geaux Math! EBRPSS & LSU: Differentiating Lessons with AI

Whitepaper/Report

Research report on a generative AI pilot designed to support K-8 teachers in differentiating math lessons.

Visit Resource
This link will take you to an external website.
Purpose/Abstract

Funded by the Bill and Melinda Gates Foundation, East Baton Rouge Parish School System (EBRPSS) and research partner Louisiana State University, Social Research and Evaluation Center (LSU SREC), conducted a pilot program entitled Geaux Math! EBRPSS & LSU: Differentiating Lessons with AI.

The study examined a novel way to support differentiating math curricula, focusing on children of color and students living in poverty. Geaux Math! targeted K-8 teachers and aimed to understand how implementing a generative AI tool supports teachers’ ability to plan for small-group differentiated instruction (DI) to meet the needs of academically diverse students.

Researchers examined teachers' levels of self-efficacy with new technology, teachers' ability to engage in differentiated instruction, and their level of burnout. The research-practitioner partnership conducted the project through an implementation science approach.

The report includes lessons learned and provides recommendations for district- and school-level supports for teachers.

Citation
Do, B., & Rhodes, J. L. F. (2024). Geaux Math! EBRPSS & LSU: Differentiating Lessons with AI. Social Research and Evaluation Center at the Louisiana State University College of Human Sciences and Education. Retrieved from https://repository.lsu.edu/srec_reports/12/

Areas researched: Student Learning, Student Affect, Teacher outcomes, Artificial Intelligence

Previous
Previous

Exploring the Impact of School Discipline and Attendance on Academic Achievement

Next
Next

How Digital Platforms Provide Individualized Learning Experiences in Mathematics