Teaching Programming with Generative AI Tools: Implications for students with different learning styles

This study explores the implications of teaching programming with generative AI (GenAI) tools for students with different learning styles. Specifically, we focus on frustration with learning to code as well as the student’s confidence in their ability to code with GenAI tools. We use the VARK learner profile for the learning styles of students. Using survey data from 48 students in a graduate programming course, we assessed how these learning styles and GenAI usage profiles impact students' confidence and frustration when learning to program. Our findings reveal that certain learner profiles strongly predict frustration while certain other profile predict confidence. The findings suggest that visual and kinesthetic learners benefit more from GenAI tools, while auditory learners and beginners may require additional support. These results provide valuable insights for educators on tailoring GenAI integration in programming courses.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-10-23
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Teaching Programming with Generative AI Tools: Implications for students with different learning styles

Journal of the Association for Information Systems
Mathematical Biology Tumor Growth
article

Teaching Programming with Generative AI Tools: Implications for students with different learning styles

article en

Abstract

This study explores the implications of teaching programming with generative AI (GenAI) tools for students with different learning styles. Specifically, we focus on frustration with learning to code as well as the student’s confidence in their ability to code with GenAI tools. We use the VARK learner profile for the learning styles of students. Using survey data from 48 students in a graduate programming course, we assessed how these learning styles and GenAI usage profiles impact students' confidence and frustration when learning to program. Our findings reveal that certain learner profiles strongly predict frustration while certain other profile predict confidence. The findings suggest that visual and kinesthetic learners benefit more from GenAI tools, while auditory learners and beginners may require additional support. These results provide valuable insights for educators on tailoring GenAI integration in programming courses.

Journal of the Association for Information Systems
Quality Education
Openalex Percentile: Top 52%
Mathematical Biology Tumor Growth
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.