Understanding Programming Students' Help-Seeking Preferences in the Era of Generative AI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Novice programming students frequently engage in help-seeking to find information and learn about programming concepts. Among the available resources, generative AI (GenAI) chatbots appear resourceful, widely accessible, and less intimidating than human tutors. Programming instructors are actively integrating these tools into classrooms. However, our understanding of how novice programming students trust GenAI chatbots-and the factors influencing their usage-remains limited. To address this gap, we investigated the learning resource selection process of 20 novice programming students tasked with studying a programming topic. We split our participants into two groups: one using ChatGPT (n=10) and the other using a human tutor via Discord (n=10). We found that participants held strong positive perceptions of ChatGPT's speed and convenience but were wary of its inconsistent accuracy, making them reluctant to rely on it for learning entirely new topics. Accordingly, they generally preferred more trustworthy resources for learning (e.g., instructors, tutors), preferring ChatGPT for low-stakes situations or more introductory and common topics. We conclude by offering guidance to instructors on integrating LLM-based chatbots into their curricula-emphasizing verification and situational use-and to developers on designing chatbots that better address novices' trust and reliability concerns.

Original languageEnglish (US)
Title of host publicationCompEd 2025 - Proceedings of the ACM Global Computing Education Conference 2025
PublisherAssociation for Computing Machinery, Inc
Pages15-21
Number of pages7
ISBN (Electronic)9798400719295
DOIs
StatePublished - Oct 21 2025
Event3rd ACM Global Computing Education Conference, CompEd 2025 - Gaborone, Botswana
Duration: Oct 21 2025Oct 25 2025

Publication series

NameCompEd 2025 - Proceedings of the ACM Global Computing Education Conference 2025
Volume1

Conference

Conference3rd ACM Global Computing Education Conference, CompEd 2025
Country/TerritoryBotswana
CityGaborone
Period10/21/2510/25/25

Keywords

  • computing education
  • cs1
  • generative ai
  • help-seeking behavior
  • human-ai interaction
  • novice programming students

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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