Personalized Learning With AI: Learning, Management, and Feedback

Personalized Learning With AI: Learning, Management, and Feedback

S. Vishnu (Amrita Vishwa Vidyapeetham, India), S. Priyanga (Amrita Vishwa Vidyapeetham, India), S. Baghavathi Priya (Amrita Vishwa Vidyapeetham, India), and TamilSelvi Madeswaran (University of Technology and Applied Sciences, Oman)
DOI: 10.4018/979-8-3373-6791-0.ch009
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Abstract

In today's educational landscape, digital learning platforms often fail to meet the diverse needs of students. Lynqsphere, a novel educational platform, is designed to integrate AI, data science, and VR to offer personalized, immersive, and collaborative learning. It supports all education levels—primary to postgraduate—adapting assessments to student levels. Core features include AI-driven analytics for personalized content, VR-enabled lessons such as virtual dissections, field trips, and an AI chatbot for instant support. The coding hub with a built-in IDE enables real-time collaborative coding and project work. An event calendar recommends hackathons, workshops, and contests based on user interests. The assessment system offers real-time quizzes, practical tasks, and feedback with SWOT analysis. Management tools track progress, set goals, and guide students with tailored suggestions. The platform, while being multilingual, accessible, and inclusive, supports diverse learning needs, ensuring quality education and lifelong learning for all users.
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