Research Symposium

BIO

Austin Roberts is a computer engineering major with an interest in artificial intelligence (AI) and digital signal processing (DSP). He comes from a background of live sound engineering and computer programming. In September 2022, he joined the Machine Learning Lab (MLAB), coordinated by Dr. Jonathan Adams, to assist with several research projects in AI, including the one presented here. Austin hopes to attend graduate school after finishing his bachelors to continue research in the field.

Uses of Artificial Intelligence in Higher Education

Abstract

This research investigates the distribution and focal areas of research being conducted on Artificial Intelligence (AI) in higher education between the years of 2019 and 2023. The analysis examined 723 articles resulting from a structured search of three educational databases. Peer-reviewed publications published after 2019, that conducted either qualitative or quantitative reach, examined the use or application of artificial intelligence were included. A total of 113 articles met inclusion criteria and were coded as belonging to one of the following categories: adaptive systems, assessment and evaluation profiling and prediction, or intelligent tutoring. The results are consistent with prior works that appear to demonstrate a continued interest in applying AI agents to profile and predict student performance.

Keywords: Artificial Intelligence, Machine Learning, Higher Education, Intelligent Tutoring, Predictive Modeling, Learning, Student