Abstract :

The old paradigms of education are being disrupted as a result of the growing incorporation of artificial intelligence (AI) technology into higher education institutions (HEIs). The purpose of this study is to evaluate the influence that artificial intelligence-driven tools and platforms, such as adaptive learning systems, intelligent tutoring systems, automated feedback mechanisms, and AI-based content recommendation engines, have on the behaviour of students who are enrolled in higher education institutions. The research finds major changes in students’ study behaviours, time management, and learning preferences. This is accomplished via the use of a mixed-methods approach, which combines quantitative surveys and qualitative interviews with undergraduate and postgraduate students from a wide range of academic fields. The findings indicate a trend towards learning experiences that are more personalized, autonomous, and on-demand. This transition is made possible by the ability of artificial intelligence to analyse individual learning patterns and present information that is suited to those patterns. An over dependence on artificial intelligence, a decrease in critical thinking, and digital exhaustion are some of the concerns that are brought to light by the study. The final section of the study emphasises the importance of integrating artificial intelligence in a way that is balanced, so that it may improve learning outcomes while maintaining cognitive engagement and academic integrity.

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Keywords :

AI in Education, Artificial Intelligence, Autonomous Learning, Digital Pedagogy, Higher Education, Learning Habits, personalized learning

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