Maqola

INTEGRATION OF ARTIFICIAL INTELLIGENCE TOOLS IN TEACHING COMPUTER SCIENCES: PEDAGOGICAL OPPORTUNITIES, RISKS, AND IMPLEMENTATION MODELS

Maxsetova, Tirkeshov, Saatbayev, Muxabbat Maxsetovna, Ramazan Meyrambay ulí, Baxtiyor Kuandik ug'liUniversity of Innovation texnologies

Zenodo (CERN European Organization for Nuclear Research)repository2026uz

ABI

Annotatsiya

This paper examines the theoretical foundations and practical aspects of integrating generative AI (GenAI) tools into university-level computer science and programming courses. Three pedagogical integration models are analysed: assistive, collaborative, and critical. Risks associated with academic dishonesty, debugging-skill atrophy, and reduced cognitive load are discussed. A conceptual framework — AI-Augmented CS Curriculum — is proposed, incorporating principles for competency assessment in an environment of ubiquitous AI-assistant access.

Mavzular

Ethics and Social Impacts of AI Teaching and Learning Programming Intelligent Tutoring Systems and Adaptive Learning

Identifikatorlar

DOI: 10.5281/zenodo.19616480

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