ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION: A GLOBAL REVIEW OF AI-POWERED TEACHING AND LEARNING

Nishanov, Begzod

Муҳандислик ва Иқтисодиёт · 2026-yil

Annotatsiya

Artificial intelligence, and in particular generative AI systems such as ChatGPT, Gemini, and Claude, hasmoved from the periphery to the mainstream of higher education in less than four years. By 2025, multiple internationalsurveys converge on a single conclusion: AI use among university students is approaching universality, while institutionalgovernance, faculty competence, and pedagogical theory are scrambling to keep pace. This article synthesises peer-reviewedempirical research published between 2020 and 2026, together with reports from UNESCO, the OECD, the RussellGroup, the Digital Education Council, the Higher Education Policy Institute, Ellucian, and EDUCAUSE, to present aglobal, theoretically grounded account of the current state of AI-powered teaching and learning. The article maps adoptiontrends and key technologies, situates them within established and emerging theoretical frameworks including the TechnologyAcceptance Model, TPACK and its AI-specific extensions, constructivism, connectivism, and self-regulated learningtheory, reviews benefits and challenges, surveys policy responses across multiple jurisdictions, and outlines future directionsincluding AI literacy as a graduate attribute, hybrid human–AI pedagogies, and the redefined role of the educator.The analysis concludes that AI adoption in higher education is no longer a question of trajectory but of governance, andthat the pedagogy of integration, not the technology itself, determines whether AI enhances or undermines learning outcomes.

Maqola ma’lumotlari
MualliflarNishanov, Begzod
JurnalМуҳандислик ва Иқтисодиёт
Nashr sanasi2026-06-01
Jild4
Son6
TilO‘zbek

Kalit so‘zlar

artificial intelligence, higher education, generative AI, teaching and learning, Technology Acceptance Model, TPACK, adaptive learning, academic integrity, AI literacy, UNESCO, self-regulated learning

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