GenAI integration in upper-level computing courses

Dennis J. Bouvier; Bruno Pereira Cipriano; Richard Glassey; Raymond Pettit; Emma 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

doi:10.1145/3724389.3731276

GenAI integration in upper-level computing courses

Dennis J. Bouvier, Bruno Pereira Cipriano, Richard Glassey, Raymond Pettit, Emma 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

School of Computing

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

4 Citations (Scopus)

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
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	691-692
Number of pages	2
ISBN (Electronic)	9798400715693
DOIs	https://doi.org/10.1145/3724389.3731276
Publication status	Published - 2025
Event	30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025 - Nijmegen, Netherlands Duration: 27 Jun 2025 → 2 Jul 2025

Conference

Conference	30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025
Country/Territory	Netherlands
City	Nijmegen
Period	27/06/25 → 2/07/25

Keywords

GenAI
computing education
learning goals and outcomes

Access to Document

10.1145/3724389.3731276

Cite this

Bouvier, D. J., Cipriano, B. P., Glassey, R., Pettit, R., Anderson, E., Birillo, 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). Association for Computing Machinery. https://doi.org/10.1145/3724389.3731276

@inproceedings{8f458371a3b147daa1aa89bb449a20aa,

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.",

keywords = "GenAI, computing education, learning goals and outcomes",

author = "Bouvier, \{Dennis J.\} and Cipriano, \{Bruno Pereira\} and Richard Glassey and Raymond Pettit and Emma Anderson and Anastasiia Birillo 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",

doi = "10.1145/3724389.3731276",

language = "English",

pages = "691--692",

booktitle = "ITiCSE 2025",

publisher = "Association for Computing Machinery",

address = "United States",

note = "30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025 ; Conference date: 27-06-2025 Through 02-07-2025",

}

Bouvier, DJ, Cipriano, BP, Glassey, R, Pettit, R, Anderson, E, Birillo, 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. Association for Computing Machinery, New York, pp. 691-692, 30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025, Nijmegen, Netherlands, 27/06/25. https://doi.org/10.1145/3724389.3731276

GenAI integration in upper-level computing courses. / Bouvier, Dennis J.; Cipriano, Bruno Pereira; Glassey, Richard et al.
ITiCSE 2025: proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. New York: Association for Computing Machinery, 2025. p. 691-692.

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

TY - GEN

T1 - GenAI integration in upper-level computing courses

AU - Bouvier, Dennis J.

AU - Cipriano, Bruno Pereira

AU - Glassey, Richard

AU - Pettit, Raymond

AU - Anderson, Emma

AU - Birillo, 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

Y1 - 2025

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.

KW - GenAI

KW - computing education

KW - learning goals and outcomes

UR - https://www.scopus.com/pages/publications/105011815271

U2 - 10.1145/3724389.3731276

DO - 10.1145/3724389.3731276

M3 - Conference proceeding contribution

AN - SCOPUS:105011815271

SP - 691

EP - 692

BT - ITiCSE 2025

PB - Association for Computing Machinery

CY - New York

T2 - 30th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2025

Y2 - 27 June 2025 through 2 July 2025

ER -

GenAI integration in upper-level computing courses

Abstract

Conference

Keywords

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ITiCSE (Innovation and Technology in Computer Science Education)

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GenAI integration in upper-level computing courses

Abstract

Conference

Keywords

Access to Document

Other files and links

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Activities

ITiCSE (Innovation and Technology in Computer Science Education)

Cite this