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Enhancing Student Engagement in Open Educational Resources (OER) Through AI-Powered Learning Support: A Proof-of-Concept Study

Helen Lee

Project Team
  • • Dr. Damian Schofield, Title: Co-Principal Investigator; Professor and Director of Human-Computer Interaction, Affiliation: Department of Computer Science, SUNY Oswego • Dr. Zoe Misiewicz, Title: Co-Principal Investigator; Instructor and Supervisor of Calculus Gateway Courses, Affiliation: Department of Mathematics, SUNY Oswego

Oswego

2025

IITG

$15,000.00

Project Abstract:

This study explores the feasibility of integrating Artificial Intelligence (AI) technology and Human-Computer Interaction (HCI) techniques to enhance student engagement with Open Educational Resources (OER) in mathematics courses (i.e., via free online courses in Lumen). SUNY Oswego faces challenges with low student retention and performance in math, highlighting the need for effective support tools. This project will develop and test an AI-powered companion tool designed to assist students using OER as a supplementary learning resource. The tool will provide real-time motivational prompts, interactive features, and gamification to sustain engagement and improve learning persistence. In addition to tracking engagement and academic performance, the study will measure biobehavioral indicators such as heart rate variability and skin conductance to assess stress levels, hypothesizing that students using the AI-supported OER will experience reduced stress and greater learning efficiency. The technology is adaptable to multiple OER platforms, with findings disseminated through publications, conferences, and open-access resources to inform broader digital learning innovations.

Project Outcome:

Project currently ongoing