• Arif Mulani
• Dr. Kannan Rajeswari
• Tanmay Shindkar
• Omkar Pote

his paper presents a comprehensive knowledge management system designed to improve teaching effectiveness, student learning outcomes, and assessment practices in educa- tional institutions. The system provides personalized teaching and learning to students. In large institutes, each teacher needs to handle multiple classes, and each class consists of a large crowd. It becomes difficult to review every student’s performance in tests, maintain their marks manually, and find good and bad perform- ers in class. In a traditional knowledge management system, there was only theoretical knowledge sharing with notes, PPTs, and YouTube video links. Our project provides an automated system to generate tests and assess students’ performance in the tests. Our project is not limited to theoretical knowledge sharing, but it encourages research-based and planned study structures through our various modules. The integration of large language models and agentic AI is changing the face of knowledge management and learning systems. This review examines the architecture, functionality, and theoretical foundations of the system in the context of current educational technology research.

knowledge management system, educational technology, AI in education, automated assessment, personalized learning

"Knowledge Management System for Effective Teaching, Learning, and Assessment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.l38-l41, April-2025, Available :http://www.jetir.org/papers/JETIR2504B07.pdf

"Knowledge Management System for Effective Teaching, Learning, and Assessment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppl38-l41, April-2025, Available at : http://www.jetir.org/papers/JETIR2504B07.pdf