GenAI Integration in Upper-Level Computing Courses

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

doi:10.1145/3724389.3731276

GenAI Integration in Upper-Level Computing Courses

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Abstract/Poster in proceeding › peer-review

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 language	English
Title of host publication	ITiCSE 2025
Subtitle of host publication	Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2
Pages	691-692
Number of pages	2
DOIs	https://doi.org/10.1145/3724389.3731276
Publication status	Published - 17 Jun 2025

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10.1145/3724389.3731276

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Bouvier, D. J., Cirpriano, B. P., Glassey, R., Pettit, R., Anderson, E., Brillo, A., Dougherty, R., Hazzan, O., Petrovska, O., Pombo, N., Rahimi, E., Ramakrishnan, C., Steinmaurer, A., Taneja, S., Usman, M., Vadaparty, A., & Yeluripati, G. R. (2025). GenAI Integration in Upper-Level Computing Courses. In ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 691-692) https://doi.org/10.1145/3724389.3731276

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title = "GenAI Integration in Upper-Level Computing Courses",

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.",

author = "Bouvier, \{Dennis J.\} and Cirpriano, \{Bruno Pereira\} and Richard Glassey and Raymond Pettit and Emma Anderson and Anastasiia Brillo and Ryan Dougherty and Orit Hazzan and Olga Petrovska and Nuno Pombo and Ebrahim Rahimi and Charanya Ramakrishnan and Alexander Steinmaurer and Shubbhi Taneja and Muhammad Usman and Annapurna Vadaparty and Yeluripati, \{Govindha Ramaiah\}",

year = "2025",

month = jun,

day = "17",

doi = "10.1145/3724389.3731276",

language = "English",

pages = "691--692",

booktitle = "ITiCSE 2025",

}

Bouvier, DJ, Cirpriano, BP, Glassey, R, Pettit, R, Anderson, E, Brillo, A, Dougherty, R, Hazzan, O, Petrovska, O, Pombo, N, Rahimi, E, Ramakrishnan, C, Steinmaurer, A, Taneja, S, Usman, M, Vadaparty, A & Yeluripati, GR 2025, GenAI Integration in Upper-Level Computing Courses. in ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. pp. 691-692. https://doi.org/10.1145/3724389.3731276

GenAI Integration in Upper-Level Computing Courses. / Bouvier, Dennis J.; Cirpriano, Bruno Pereira; Glassey, Richard et al.
ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. 2025. p. 691-692.

Research output: Chapter in Book/Report/Conference proceeding › Conference Abstract/Poster in proceeding › peer-review

TY - CHAP

T1 - GenAI Integration in Upper-Level Computing Courses

AU - Bouvier, Dennis J.

AU - Cirpriano, Bruno Pereira

AU - Glassey, Richard

AU - Pettit, Raymond

AU - Anderson, Emma

AU - Brillo, Anastasiia

AU - Dougherty, Ryan

AU - Hazzan, Orit

AU - Petrovska, Olga

AU - Pombo, Nuno

AU - Rahimi, Ebrahim

AU - Ramakrishnan, Charanya

AU - Steinmaurer, Alexander

AU - Taneja, Shubbhi

AU - Usman, Muhammad

AU - Vadaparty, Annapurna

AU - Yeluripati, Govindha Ramaiah

PY - 2025/6/17

Y1 - 2025/6/17

N2 - 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.

AB - 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.

U2 - 10.1145/3724389.3731276

DO - 10.1145/3724389.3731276

M3 - Conference Abstract/Poster in proceeding

SP - 691

EP - 692

BT - ITiCSE 2025

ER -

GenAI Integration in Upper-Level Computing Courses

Abstract

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