LLM based Recommendation Engine Module for Personalized Course Suggestions, Study Planning, and Career Counseling

This paper introduces an educational recommendation engine integrated into the feedback module of an e assessment application designed for the project management domain.The engine provides personalized recommendations in the form of Web pages that address the knowledge gaps of students identified during their e-tests.The authors highlight that incorporating a recommender engine improves the forma tive value of e-assessments, transforming them into innovative educational tools.This approach empowers students to take charge of their learning journey and actively participate in the learning process.The paper also includes a brief evaluation of the effectiveness of these recommendations.