Generative AI in Computer Science Education: Insights from an Exploratory Study of Students, Educators, and Industry Professionals (2026)

International Conference on Computer Supported Education

Authors

L. Cernau, L. Diosan, Camelia Serban

Abstract

This study offers preliminary insights into the adoption of Generative Artificial Intelligence (GenAI) tools in computer science (CS) education, drawing on responses from 202 university-level computer science students, 16 educators, and 6 industry professionals. Employing a three-dimensional approach, the study delivers a nuanced, cross-stakeholder perspective on current GenAI utilisation and perceptions within CS educational contexts. The findings indicate a high prevalence of GenAI tools usage among students, who primarily view these as productivity enhancers, while also acknowledging their limitations and ethical challenges. Both students and educators emphasise the necessity for structured guidance on responsible tool usage. Educators further assert that generative AI should serve as a support mechanism rather than replace foundational knowledge, and they advocate establishing formal usage guidelines. Industry professionals support this view, recognising the critical role of GenAI in modern software development and stressing the importance of students acquiring core computer science competencies. The study concludes that, although GenAI presents considerable opportunities, there is a significant risk of overreliance that could hinder critical thinking. Consequently, explicit and intentional institutional guidance is required to ensure the effective and ethical integration of GenAI tools into CS education. Although this exploratory, context-bound study does not seek to generalise its conclusions, it underscores the urgency for institutions to develop and implement robust strategies supporting responsible GenAI adoption. Further, larger-scale research is needed to determine how educational practices can optimise the benefits of GenAI and mitigate associated risks in a rapidly evolving technological environment.

Citation

@Inproceedings{Cernau2026GenerativeAI,
 author = {L. Cernau and L. Diosan and Camelia Serban},
 booktitle = {International Conference on Computer Supported Education},
 title = {Generative AI in Computer Science Education: Insights from an Exploratory Study of Students, Educators, and Industry Professionals},
 year = {2026}
}