THE IMPACT OF AI INTEGRATION ON STUDENT MOTIVATION IN CLASSROOM LEARNING

Abstract

This paper focuses on the effects of the implementation of Artificial Intelligence (AI) on student motivation during classroom performance. As AI-powered learning devices like adaptive learning system, intelligent tutoring systems, and automated feedback systems are being more adopted, these tools have on the motivational levels of students has gained greater significance. The researchers examine the impact of AI integration on the essential areas of student motivation such as their engagement, interest, autonomy, and persistence in learning activities. The results show that AI-enhanced classroom learning has a positive effect on student motivation due to the improvement of personal learning experience, instant feedback system, and active engagement. The study notes the issues with the technological accessibility, teacher preparedness, and possible over-reliance on the AI tools. The researchers find that a positive and efficient integration of AI alongside pedagogical support can contribute essentially to the motivation of students and the overall learning outcomes of the classroom.

Keywords: AI-powered, classroom learning, student motivation and pedagogical support.