GenAI Integration in Upper-Level Computing Courses

Dennis J Bouvier, Bruno Pereira Cipriano, Richard Glassey, Raymond Pettit, Emma V. Anderson, Anastasiia Birillo, Ryan Dougherty, Orit Hazzan, Olga Petrovska, Nuno Pombo, Ebrahim Rahimi, Charanya Ramakrishnan, Alexander Steinmaurer, Shubbhi Taneja, Muhammad Usman, Annapurna Vadaparty, Govindha Ramaiah Yeluripati

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

2 Citations (Scopus)
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Abstract

GenAI is playing an increasingly important role in computing courses at all levels, offering new opportunities to support teaching and learning. However, using GenAI effectively raises important concerns regarding trust, academic integrity, and broader social and ethical dimensions. This Working Group was formed to report on the current state of the art in using GenAI in upper-level computing courses to aid educators. The working group will undertake a methodological review of published work and solicit input from the computing educational community as part of the report.
Original languageEnglish
Title of host publicationITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2
EditorsErik Barendsen, Floor Binkhorst, Ángel Velázquez-Iturbide, Jaime Urquiza Fuentes, James Paterson, Keith Quille
Place of PublicationNew York, United States
PublisherACM
Pages691-692
Number of pages2
ISBN (Electronic)9798400715693
DOIs
Publication statusPublished - 17 Jun 2025

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
Volume2
ISSN (Print)1942-647X

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