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Recommender systems in education: A literature review and bibliometric analysis

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Thematic evolution of the topic
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Submitted   Jun 2, 2023
Published   Sep 11, 2023
Issue    Vol 3 No 2 (2023)
DOI   10.25082/AMLER.2023.02.011

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Georgios Lampropoulos corresponding author
Department of Information and Electronic Engineering, International Hellenic University, Thessaloniki, Greece

Abstract

This study aims to provide an overview regarding the use of recommender systems in education through a systematic review and a bibliometric analysis. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was followed and a total of 1,622 related documents from Scopus and WoS are examined from 2001 to 2022. The study goes over the literature and describes personalized learning, artificial intelligence (AI) in education as well as recommender systems and educational recommender systems. Besides descriptive statistics about the document collection, the result analysis involves the citation, sources, authors, affiliations, countries, and document information and categories of the related articles. The thematic evolution of the topic throughout the years is also examined. Based on the results, the recency and significance of recommender systems and their potentials in the educational domain were evident. Their ability to take into account learners' unique traits, experiences, skills, and preferences was highlighted. Recommender systems emerged as a learning tool that can empower learners, improve education quality and learning outcomes, increase learners' motivation, engagement, achievements, and satisfaction, and enable learners to be in charge of their own learning. Finally, recommender systems arose as an effective educational tool that can promote and improve adaptive learning and personalized learning.

Keywords
recommender systems, recommendation systems, artificial intelligence, adaptive learning, pedagogical agents, intelligent tutoring systems, technology enhanced learning, bibliometric analysis, mapping study

Article Details

How to Cite
Lampropoulos, G. (2023). Recommender systems in education: A literature review and bibliometric analysis. Advances in Mobile Learning Educational Research, 3(2), 829-850. https://doi.org/10.25082/AMLER.2023.02.011
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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