AI-ENHANCED LEARNING: EXPLORING THE USE OF GENERATIVE AI AS A STUDY TUTOR

This study investigates the use of an AI tutor as a teaching assistant in a master’s level university course to improve learning outcomes by increasing student motivation. Grounded in Self-Determination Theory, the research explores how AI integration impacts students’ motivation and learning outcomes. Preliminary findings from qualitative data indicate positive effects on student engagement, discussion quality, and personalized support. The study employs a mixed-methods approach, including surveys, group discussions, and interviews, to provide comprehensive insights into the potential benefits and challenges of AI integration in higher education. Results are expected to contribute to the growing body of knowledge on AI in education and offer practical insights for educators implementing AI tools in their teaching practices.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-03-05
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-ENHANCED LEARNING: EXPLORING THE USE OF GENERATIVE AI AS A STUDY TUTOR

Journal of the Association for Information Systems
Architecture and Computational Design
article

AI-ENHANCED LEARNING: EXPLORING THE USE OF GENERATIVE AI AS A STUDY TUTOR

article en

Abstract

This study investigates the use of an AI tutor as a teaching assistant in a master’s level university course to improve learning outcomes by increasing student motivation. Grounded in Self-Determination Theory, the research explores how AI integration impacts students’ motivation and learning outcomes. Preliminary findings from qualitative data indicate positive effects on student engagement, discussion quality, and personalized support. The study employs a mixed-methods approach, including surveys, group discussions, and interviews, to provide comprehensive insights into the potential benefits and challenges of AI integration in higher education. Results are expected to contribute to the growing body of knowledge on AI in education and offer practical insights for educators implementing AI tools in their teaching practices.

Journal of the Association for Information Systems
Quality Education
Openalex Percentile: Top 41%
Architecture and Computational Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-ENHANCED LEARNING: EXPLORING THE USE OF GENERATIVE AI AS A STUDY TUTOR · Journal of the Association for Information Systems (2025) | TGRS Research Map | TGRS