Intelligent Adaptive Learning Solution with Artificial Intelligence

Authors

  • Khushi H Shetty 1am22cs094@amceducation.in Author
  • Divya G S Associate professor, Dept. of CSE, AMC Engineering College, Bengaluru, Karnataka, India. Author
  • S R Sheetal Associate professor, Dept. of CSE, AMC Engineering College, Bengaluru, Karnataka, India. Author
  • Keerti UG Scholar, Dept. of CSE, AMC Engineering College, Bengaluru, Karnataka, India. Author
  • Huda Fathima A UG Scholar, Dept. of CSE, AMC Engineering College, Bengaluru, Karnataka, India. Author
  • Iffath Fathima UG Scholar, Dept. of CSE, AMC Engineering College, Bengaluru, Karnataka, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0537

Keywords:

Adaptive learning, Artificial intelligence, Personalized education, Quiz generation, Study groups

Abstract

In today’s changing educational environment, traditional models often do not meet the diverse needs of learners of all ages and academic levels. To tackle this problem, the Intelligent Adaptive Learning Solution with Artificial Intelligence (IALSAI) is introduced as an AI-powered platform that offers personalized and adaptive learning experiences. By examining user performance, pace, and behavior, the system creates tailored quizzes and summarizes uploaded notes to improve understanding and memory. IALSAI also encourages collaboration through interactive study groups. Users can join interest-based communities, ask questions anonymously, or create private groups with friends. The platform is designed to support lifelong learners. It combines smart content delivery with community involvement, fostering an inclusive, flexible, and effective learning space for everyone. With its scalable and user-focused approach, IALSAI seeks to change how learners engage with content, peers, and technology in modern education.

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Published

2025-09-23

How to Cite

Intelligent Adaptive Learning Solution with Artificial Intelligence. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(09), 3696-3700. https://doi.org/10.47392/IRJAEH.2025.0537