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Treffer: Beyond Programming Assistance towards the Integration of Generative AI into Computer Science Education: A Scoping Review

Title:
Beyond Programming Assistance towards the Integration of Generative AI into Computer Science Education: A Scoping Review
Contributors:
Université de Sherbrooke = University of Sherbrooke [Sherbrooke] (UdeS), Université Téluq (TELUQ), Laboratoire d'Informatique Avancée de Saint-Denis (LIASD), Université Paris 8 (UP8), Ecole de Technologie Supérieure [Montréal] (ETS), Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Modèles et Outils informatiques Centrés Apprentissage Humain (MOCAH), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université des Antilles (Pôle Guadeloupe), Université des Antilles (UA), Ecole Centrale d'Electronique, Centre de Recherche sur les Médiations (Crem), Université de Lorraine (UL), Projet GENEPI (Université Paris 8), Alexandra I. Cristea, Erin Walker, Yu Lu, Olga C. Santos, Seiji Isotani, ANR-22-CE38-0003,COPCOT,Personnalisation de contenu pout la construction des compétences en pensée informatique(2022)
Source:
26th International Conference on Artificial Intelligence in Education - AIED 2025. :380-389
Publisher Information:
CCSD; Springer, 2025.
Publication Year:
2025
Collection:
collection:UNIV-AG
collection:UNIV-PARIS8
collection:CNRS
collection:LIASD
collection:LIP6
collection:UNIV-LORRAINE
collection:CAMPUS-AAR
collection:AAI
collection:CREM-UL
collection:SORBONNE-UNIVERSITE
collection:SORBONNE-UNIV
collection:CREM-PIXEL
collection:CREM-PIXEL-T
collection:SU-SCIENCES
collection:UNIV-PARIS-LUMIERES
collection:SU-TI
collection:ANR
collection:UNIV-PARIS8-OA
collection:ALLIANCE-SU
collection:SUPRA_MATHS_INFO
collection:CLCS-UL
Subject Geographic:
Original Identifier:
HAL: hal-05144341
Document Type:
Konferenz conferenceObject<br />Conference papers
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-031-98462-4_48
DOI:
10.1007/978-3-031-98462-4_48
Rights:
info:eu-repo/semantics/OpenAccess
URL: http://creativecommons.org/licenses/by-nc-sa/
Accession Number:
edshal.hal.05144341v1
Database:
HAL

Weitere Informationen

This paper presents a scoping review of literature on using generative artificial intelligence (GenAI) in computer science (CS) education at the higher education (HE) level. This review's primary research question is: "How is GenAI utilized in the teaching and learning of CS in HE?" A total of 890 articles were initially identified following a protocol based on PRISMA guidelines. After the selection screening, 38 articles were included for quantitative and qualitative analysis. Students mainly use GenAI to assist with programming tasks. However, there is a lack of research for developing effective pedagogical strategies to fully integrate GenAI into CS education. While opinions on its effectiveness in HE are mixed, students' growing enthusiasm for GenAI stresses the critical need for research on pedagogical approaches to effectively handle its integration and facilitate the current educational paradigm shift. This shift calls for proactive pedagogical strategies and research to adapt teaching methods to an AI-driven context. Strategic GenAI use and regulation will equip new CS learners to thrive in the evolving tech landscape.