The Evolving Usage of GenAI by Computing Students
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Abstract (arXiv)
Help-seeking is a critical aspect of learning and problem-solving for computing students. Recent research has shown that many students are aware of generative AI (GenAI) tools; however, there are gaps in the extent and effectiveness of how students use them. With over two years of widespread GenAI usage, it is crucial to understand whether students' help-seeking behaviors with these tools have evolved and how. This paper presents findings from a repeated cross-sectional survey conducted among computing students across North American universities (n=95). Our results indicate shifts in GenAI usage patterns. In 2023, 34.1% of students (n=47) reported never using ChatGPT for help, ranking it fourth after online searches, peer support, and class forums. By 2024, this figure dropped sharply to 6.3% (n=48), with ChatGPT nearly matching online search as the most commonly used help resource. Despite this growing prevalence, there has been a decline in students' hourly and daily usage of GenAI tools, which may be attributed to a common tendency to underestimate usage frequency. These findings offer new insights into the evolving role of GenAI in computing education, highlighting its increasing acceptance and solidifying its position as a key help resource.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 5 of its 6 references that are in the map. First posted on arXiv 21 Dec 2024.
Builds on
5 of 6 references.
References · 5
- 2023The Robots are Here: Navigating the Generative AI Revolution in Computing Educationcited by 86
- 2024The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmerscited by 48
- 2024The Effects of Generative AI on Computing Students' Help-Seeking Preferencescited by 23
- 2024Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Coursecited by 9
- 2024Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023cited by 5
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Citing papers per year: 2025: 1; 2026: 3.
4 papers.
- 2026"Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbotscited by 2
- 2025"All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communitiescited by 1
- 2026Confidence Calibration in Large Language Modelscited by 1
- 2026To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checkscited by 0
- 2026To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks29 Jun 2026
- 2026Confidence Calibration in Large Language Models3 Apr 2026
- 2026"Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots10 Feb 2026
- 2025"All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communities14 Apr 2025