Exploring the Impact of AI-driven Adaptive Learning Systems in University Education: An Empirical Study of Learning Engagement Based on NSSE Data
Year: 2025
Type: conference-paper
Abstract: Research investigation looks into the effect of student interaction and academic results with artificial intelligence adaptive education platform in college situations. The research in this study is based on the research data provided by National Survey of Student Engagement (NSSE), and the regression analysis and ANOVA together with factor analysis are used to understand learning outcomes from the usage of AI. AI engagement has a good association with GPA achievement and students who use AI systems inevitably do better in GPA scores than those who don't. Utilizing Factor Analysis, the “AI Learning Engagement” factor clearly exceeds the others, and is the determinant of academic success variations as much as 35%. The GPAs of the students in the two groups are shown to be different by the ANOVA statistical analysis. The research shows that AI makes personalized education and personalized educational results better than institutions need to adopt AI into their curriculum. But following promising results, the study requires additional scientific investigation to determine extent of positive outcomes and readiness of operations in other types of educational environments.
Author: Li Yang
Institution: Huazhong University of Science and Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4413986016