THE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE ON THE EDUCATION SYSTEM
Keywords:
Generative artificial intelligence, education technology, large language models, personalized learning, academic integrity, AI literacy, ChatGPT, digital transformation, higher education, pedagogy.Abstract
The article examines the multidimensional impact of generative artificial intelligence (GenAI) on the modern education system. Drawing on recent scholarly literature and policy documents, the study analyzes how large language models such as GPT, Gemini and Claude are reshaping teaching, learning, assessment, curriculum design and educational administration. The principal application domains of the technology are identified, including personalized learning, intelligent tutoring, automated content generation, formative assessment, language acquisition and inclusive education. The article argues that, when integrated thoughtfully, GenAI can enhance learning outcomes, reduce teacher workload and democratize access to high-quality educational resources, while simultaneously raising serious concerns regarding academic integrity, factual reliability, algorithmic bias, data privacy, the digital divide and cognitive over-reliance. The study concludes that the educational value of GenAI depends not on the technology itself but on the pedagogical, ethical and policy frameworks within which it is deployed.
