AI Tools in Programming Education: Student Perspectives and Usage Trends

This research investigates the expanding use of generative AI (Mahmoud et al., 2025) tools among computer programming students. Building on a 2023 study, a 2024 survey of 182 undergraduate and graduate students explored usage patterns, perceived effectiveness, and attitudes towards their academic use. Thematic analysis revealed a significant increase in AI adoption, with students frequently using tools for code generation, debugging, and explanation. While students value the speed and efficiency AI offers, they express significant concerns about output accuracy, over-reliance, and the impact on developing independent reasoning skills. Notably, attitudes shifted from favouring full allowance of AI tools to partial allowance for programming assignments, with distinct usage patterns observed across different study levels. These findings underscore the urgent need for educational institutions to establish clear guidelines. A balanced approach is required to integrate AI tools constructively while mitigating risks to academic integrity and deep learning.

Authors

Publication Details

Journal
Journal of information and organizational sciences
Published
2026-02-17
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI Tools in Programming Education: Student Perspectives and Usage Trends

Matija Novak, Marija Maček
Journal of information and organizational sciences
Artificial Intelligence in Healthcare and Education
article

AI Tools in Programming Education: Student Perspectives and Usage Trends

Matija Novak, Marija Maček
article en

Abstract

This research investigates the expanding use of generative AI (Mahmoud et al., 2025) tools among computer programming students. Building on a 2023 study, a 2024 survey of 182 undergraduate and graduate students explored usage patterns, perceived effectiveness, and attitudes towards their academic use. Thematic analysis revealed a significant increase in AI adoption, with students frequently using tools for code generation, debugging, and explanation. While students value the speed and efficiency AI offers, they express significant concerns about output accuracy, over-reliance, and the impact on developing independent reasoning skills. Notably, attitudes shifted from favouring full allowance of AI tools to partial allowance for programming assignments, with distinct usage patterns observed across different study levels. These findings underscore the urgent need for educational institutions to establish clear guidelines. A balanced approach is required to integrate AI tools constructively while mitigating risks to academic integrity and deep learning.

Journal of information and organizational sciences
Quality Education
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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.