• Mrudula S. Yeotkar
• Saloni P. Ghodki
• Samiksha G. Kalaskar
• Samruddhi R. Bodkhe
• Vaishali B. Bambode

This study has been undertaken to investigate the attempt that are made to analyze the adaptation of AI in adaptive learning systems, particularly towards the utilization of MCQs for engaging students in more individualized learning. Today, educational technology is basically available everywhere, and yet primary and secondary schools are not appreciative of advanced learning analytics tools, which otherwise would help in the widespread application of AI in education. This paper discusses how artificial intelligence, as a technique for analytical processing of data, may be used dynamically to select and adjust MCQs in real time and set a pathway toward personalized learning sessions for every student. The research study observes the state of AI-based dashboards and frameworks of smart learning environments in an effort to appraise how they could personalize learning pathways and facilitate interaction, engagement, and also academic outcomes. The paper further examines the difficulties that arise in implementation through AI: data privacy and the complexity of adaptive learning systems. Results uncover the potential of AI in changing its approach towards the optimization of MCQ selection, opening a window on future benefits in education through adaptive learning.

learning analytics, smart learning environments, data privacy, AI-based dashboards.

"A REVIEW PAPER BASED ON INTEGRATION OF AI FOR ADAPTIVE LEARNING FOR MCQ SELECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.e390-e395, October-2024, Available :http://www.jetir.org/papers/JETIR2410441.pdf

"A REVIEW PAPER BASED ON INTEGRATION OF AI FOR ADAPTIVE LEARNING FOR MCQ SELECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppe390-e395, October-2024, Available at : http://www.jetir.org/papers/JETIR2410441.pdf