Application of Artificial Intelligence in Education and Its Pedagogical Efficiency
DOI:
https://doi.org/10.69760/portuni.26040008Keywords:
Artificial intelligence, education, personalized learning, intelligent tutoring systems, machine learning, generative AI, pedagogical efficiency, digital divide, academic integrityAbstract
The rapid advancement of digital technologies and the onset of the Fourth Industrial Revolution have fundamentally transformed the landscape of education, positioning Artificial Intelligence (AI) as a central force in pedagogical reform. This paper examines the application of AI in educational settings, exploring its core mechanisms—including machine learning, generative AI, and intelligent tutoring systems—and evaluating their pedagogical efficiency. The study analyzes how AI-driven tools enable personalized learning, automate administrative processes, and provide continuous formative assessment, thereby enhancing both teaching quality and student outcomes. Alongside these opportunities, the paper critically addresses persistent challenges: academic integrity in the era of generative AI, data privacy and security concerns, the digital divide, and the risk of cognitive dependency. Drawing on international research and the Azerbaijani policy context—particularly the national AI Strategy for 2025–2028—the paper argues that the most effective educational model of the future will not be one defined by technology alone, but by the productive synthesis of artificial intelligence and human pedagogical wisdom. The study concludes with projections for the classroom of 2030 and recommendations for ethical, inclusive AI integration in education.
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