Journal of International Commercial Law and Technology
2025, Volume:6, Issue:1 : 466-471
Original Article
Ai-Enabled Adaptive Learning Platforms And Their Effects On Student Autonomy And Academic Engagement: A Quantitative Investigation
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Assistant Professor Astha School of Management, Bhubaneswar
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Professor - HR & General Management Universal AI University, Karjat, Dist: Raigad, Maharashtra
3
Research Scholar, Sangam University, Bhilwara (Rajasthan)
4
Assistant Professor in Business Economics Sri Guru Nanak Dev Khalsa College, University of Delhi, New Delhi
Abstract

The present research aims to explore how AI-based adaptive learning platforms in education can significantly improve and personalise the learning experience for every student. Integrating AI in education has changed the learning environment, making adaptive learning systems a vital innovation. This paper will also let us understand how AI-based adaptive learning platforms improve student participation and academic performance. Because of personalised learning paths and instant feedback from the AI platforms, the study found that most participants showed better productivity, motivation, engagement, and noticeable improvement towards learning and academic results of students. Adaptive learning platforms and artificial intelligence are changing the modern education system by making it more personalised, accessible, and effective, while also helping people as well as students understand, accept, and support sustainable development. Therefore, the present findings can help towards the future growth of adaptive education and can be used by different policymakers, educators, and researchers to improve learning systems and strategies. Although the study concludes that AI-based adaptive learning platforms cannot replace human teaching, they have great potential to enhance personalised learning and boost students' academic performance. The factors of AI-enabled adaptive learning platform on students’ autonomy and academic engagement are Real-time or timely feedback, Personalized pacing and content, Choice and control over learning paths and Motivation through adaptive challenge

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Volume:6, Issue:1
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