Students’ Attitudes on The Role of Artificial Intelligence (Ai) In Personalized Learning

Baltezarević, Radoslav and Baltezarević, Ivana (2024) Students’ Attitudes on The Role of Artificial Intelligence (Ai) In Personalized Learning. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 12 (2). pp. 387-397. ISSN 2334-8496

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Abstract

Educational institutions are increasingly incorporating new technologies into their classrooms, such as artificial intelligence (AI), enabling more innovative teaching methods and learning experiences. Unlike traditional teaching methods, where lecturers adapt their lectures to the needs of the average student, AI-powered educational platforms are more dynamic and productive, as they can be adapted to the preferences, learning styles and pace of each student, enabling personalized learning. The aim of this study is to gather information that will help educators, legislators, and AI developers optimize AI’s role in education for increased student achievement by examining students’ attitudes toward the implementation of AI in personalized learning. The findings of this study may have an immense effect on how AI is used in educational settings in the future, because they may provide better understanding that would enable students to receive more individualized instruction and autonomy while also increasing pedagogical opportunities and reducing an excessive amount of administrative work for educators. 219 students of Megatrend University in Belgrade participated in the research (all three study levels), to whom the questionnaire was sent by e-mail. The results indicate that students believe that: a) If the application of AI makes learning personalized, the greater the possibility for students to identify their abilities and creativity; b) If lecturers apply the most effective teaching methods using AI, they can significantly automate the monitoring of student progress; c) If innovative and interesting learning opportunities are applied in classes, the greater the interactivity of students in the teaching process; d) AI can examine past student performance to identify areas of difficulty and provide tailored assistance in those areas.

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