2024 ASEE Annual Conference & Exposition

Board 248: ECS Scholars Progress Report: Outcomes from a Data-Driven Support Strategy

Presented at NSF Grantees Poster Session

This progress report presents preliminary findings from an ongoing NSF S-STEM project at Baylor University, aimed at enhancing the success of high-achieving, low-income students in STEM fields through a data-driven support strategy. Utilizing the EAB Navigate platform, the project focuses on predictive analytics to facilitate student retention, graduation, and career readiness. Despite challenges, particularly in optimizing predictive analytics, the report discusses the strengths and limitations of the Navigate platform, alongside insights gained from student and faculty perspectives. Emphasizing a work-in-progress status, the report outlines current outcomes and future directions for improving data-driven interventions and enhancing educational technology applications in STEM education.

Authors

Dr. Michael W. Thompson Baylor University [biography]

Michael Thompson received his BS, MS and PH.D. degrees in Electrical Engineering from Texas A&M University. He a professor in the Department of Electrical and Computer Engineering at Baylor University
Dr. Anne Marie Spence Baylor University [biography]

Clinical Professor
Mechanical Engineering
William A Booth Baylor University
Taylor Wilby Baylor University

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