Recommender System Approach and Students’ Academic Performance in the Context of Afghanistan’s Private Universities

Fazal Maula Safi

Recommender System Approach and Students’ Academic Performance in the Context of Afghanistan’s Private Universities

Fazal Maula Safi

Volume 1 Issue 1 | Dec 2024

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Abstract

This study addresses challenges in course selection under the Credit System at Afghan universities. It introduces a hybrid recommender system integrated into the Learning Management System (LMS), combining collaborative and content-based filtering to deliver personalized course recommendations. The system aims to optimize subject selection by leveraging students' academic histories, enhancing academic performance and satisfaction. A pilot study involving 200 students demonstrates improved GPA, course completion rates, and decision-making confidence. The study highlights the potential of recommender systems to bridge the gap in academic guidance, particularly in resource-constrained educational settings like Afghanistan.
Keywords: Recommender System, Credit System, LMS, Academic Performance, Hybrid Filtering