TY - GEN
T1 - Beyond Programming Assistance Towards the Integration of Generative AI into Computer Science Education
T2 - 26th International Conference on Artificial Intelligence in Education, AIED 2025
AU - Proust-Androwkha, Sonia
AU - Psyché, Valéry
AU - Kyriakoglou, Revekka
AU - Boubaker, Anis
AU - Lallé, Sébastien
AU - Chartofylaka, Lamprini
AU - Medeiros Machado, Guilherme
AU - El Mawas, Nour
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Computer Science in Higher Education (HE)
KW - Generative Artificial Intelligence (GenAI) in Education (AIED)
KW - Scoping Review
UR - https://www.scopus.com/pages/publications/105012026017
U2 - 10.1007/978-3-031-98462-4_48
DO - 10.1007/978-3-031-98462-4_48
M3 - Contribution to conference proceedings
AN - SCOPUS:105012026017
SN - 9783031984617
T3 - Lecture Notes in Computer Science
SP - 380
EP - 389
BT - Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings
A2 - Cristea, Alexandra I.
A2 - Walker, Erin
A2 - Lu, Yu
A2 - Santos, Olga C.
A2 - Isotani, Seiji
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 July 2025 through 26 July 2025
ER -