A Systematic Survey on Personalized Learning Framework based Recommendation System
M. Ashok, A. Chinnasamy, Kumar Ramasamy, Y.Hrithick Gokul, J.Benjamin Douglas · 2022
The purpose of this study will be to conduct a literature review on the topic of a personalized learning framework-based educational resource recommendation system. The goal of this framework is to improve the learning process of students, emphasizing the significance of providing relevant and valuable knowledge. First, for a reliable study of recommendation models for recommendation systems, more than 100 prestigious publications and presentations posted in Google Scholar between 2019 and 2021 were collected and examined, and research on recommendations for educational content in environments that support personalized and adaptive learning. This study, which offers a thorough overview of recommendation systems, also aims to inform several scholars who are interested in recommendation systems by looking at the various technologies and kinds of recommender systems applied in the service sector.