The Impact of Artificial Intelligence on Student Learning Outcomes

Authors

• Aubrey A. Jung, University of Central FloridaFollow

Streaming Media

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Course Code

STA

Course Number

4164

Faculty/Instructor

Professor Nathaniel Simone

Faculty/Instructor Email

nathaniel.simone@ucf.edu

Abstract, Summary, or Creative Statement

This study examines factors that predict the perceived impact of artificial intelligence tool usage on academic grades among Indian college students. Using a dataset of 3614 Google Forms survey responses collected in May 2025 (Kapilavayi, 2025), a multiple linear regression model was developed with Impact_on_Grades (-5 to +5) as the response variable. After exploratory data analysis, model diagnostics, and model selection procedure, the final model retained the variables: Do_Professors_Allow_Use, AI_Tools_Used, Trust_in_AI_Tools, Preferred_AI_Tool, Daily_Usage_Hours, and the interaction term Daily_Usage_Hours x Do_Professors_Allow_Use. The final model was statistically significant with F - 4.578 and p = 1.225 x 10^-9, also having an adjusted R^2 of .017 and a mean absolute error of 1.97 grade impact points. Results suggest that professor approval of AI use, the tools used, and usage intensity are the strongest predictors of reported academic outcome. Limitations of this study include the discrete and self-reported nature of the response variable, as well as the observational study design.

Keywords

artificial intelligence; AI; education; learning; student learning; statistics; statistical analysis; artificial intelligence in education; ChatGPT; Claude; Gemini

Recommended Citation

Jung, Aubrey A., "The Impact of Artificial Intelligence on Student Learning Outcomes" (2026). High Impact Practices Student Showcase Spring 2026. 84.
https://stars.library.ucf.edu/hip-2026spring/84