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Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education

  • Isaac Alpizar-Chacon
  • , Hieke Keuning
  • , Imke De Jong
  • , Ioanna Lykourentzou
  • , Susan Rings

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The application of Artificial Intelligence, in particular Generative AI, has become more widespread among educational institutions. Opinions vary widely on whether integrating AI into classrooms is the way forward or if it is detrimental to the quality of education. Increasingly, research studies are giving us more insight into the consequences of using AI tools in learning and teaching. Studies have shown how, when, and why students use AI tools. Because developments regarding the technology and its use are moving fast, we need frequent, ongoing, and more fine-grained investigation. One aspect that we do not know much about yet is how students use and think about AI across different types of education. In this paper, we present the results of a multi-institutional survey with responses from 410 students enrolled in the computing programs of 23 educational institutions, representing high schools, colleges, and research universities. We found distinct usage patterns across the three educational institution types. Students from all types express excitement, optimism, and gratitude toward GenAI. Students in higher education more often report worry and skepticism, while high school students report greater trust and fewer negative feelings. Additionally, the AI hype has had a minimal influence, positive or negative, on high school students' decision to pursue computing. Our study contributes to a better understanding of inter-institutional differences in AI usage and perception and can help educators and students better prepare for future challenges related to AI in computing education.

Original languageEnglish
Title of host publicationProceedings of 25th International Conference on Computing Education Research, Koli Calling 2025
EditorsJuho Leinonen, Rodrigo Duran
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400715990
DOIs
StatePublished - 10 Nov 2025
Externally publishedYes
Event25th Koli Calling International Conference on Computing Education Research, Koli Calling 2025 - Koli, Finland
Duration: 11 Nov 202516 Nov 2025

Publication series

NameProceedings of 25th International Conference on Computing Education Research, Koli Calling 2025

Conference

Conference25th Koli Calling International Conference on Computing Education Research, Koli Calling 2025
Country/TerritoryFinland
CityKoli
Period11/11/2516/11/25

Keywords

  • AI in Education
  • Computing Education
  • Generative AI
  • Large Language Models

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