Individualized Recommender Systems for Teaching

A Systematic Literature Mapping

Authors

  • Allan Kassio Beckman Soares da Cruz Programa de Pós-Graduação Doutorado em Ciência da Computação - Associação UFMA/UFPI
  • Carlos de Salles Soares Neto Programa de Pós-Graduação Doutorado em Ciência da Computação - Associação UFMA/UFPI
  • Mario Antonio Meireles Teixeira Programa de Pós-Graduação Doutorado em Ciência da Computação - Associação UFMA/UFPI
  • Pamela Torres Maia Beckman da Cruz Doutoramento em Ciência da Informação Faculdade de Letras, Universidade de Coimbra

DOI:

https://doi.org/10.14571/brajets.v17.n3.878-908

Keywords:

individualized recommender systems, education, systematic mapping, literature classification, future development

Abstract

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.

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2024-09-24

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