Individualized Recommender Systems for Teaching
Allan Kassio Beckman Soares da Cruz, Carlos de Salles Soares Neto, Mário Meireles Teixeira, Pamela Torres Maia Beckman da Cruz · Cadernos de Educação Tecnologia e Sociedade · 2024
This paper aims to comprehensively study the current research in individualized recommender systems for education. The study uses a systematic mapping method to classify and organize the literature on this topic. The analysis is based on the frequency of publications within the classification scheme, using 1583 articles from the leading scientific databases of the last five years. The main techniques, tools, and strategies employed in creating and implementing these systems will be identified through this study. Understanding the present status of research in this field is crucial to support these systems' future development.