Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis DOI Creative Commons
Γεώργιος Λαμπρόπουλος, Georgios Evangelidis

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 971 - 971

Published: Jan. 20, 2025

This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented mixed metaverse, its role in education, impact on teaching learning. Therefore, a systematic literature review, bibliometric scientific mapping analysis, content analysis are carried out based 70 relevant documents identified from six databases, namely, ACM, ERIC, IEEE, ScienceDirect, Scopus, Web Science (WoS) following PRISMA framework. The were separated into three categories, (i) Theoretical Review studies, (ii) Proposal Showcase (iii) Experimental Case studies examined different dimensions through an in-depth using both quantitative qualitative approaches. further analyzed scientometric tools, such as Bibliometrix VOSviewer topic modeling Latent Dirichlet Allocation (LDA). most prominent topics, areas, themes revealed outcomes regarding influence this summarized. Based results, can effectively enrich positively affect teaching, offer deep meaningful learning, support students teachers. Additionally, it approaches strategies, various styles, special education be utilized formal informal environments. real-time identification, tracking, monitoring, visualization multimodal students’ behavior, emotions, cognitive affective states overall processes emerged significant benefit that contributes greatly realization adaptive personalized Finally, was extended reality technologies collaborative social improve self-efficacy self-regulated increase gains, academic achievements, knowledge retention, motivation, engagement.

Language: Английский

Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis DOI Creative Commons
Γεώργιος Λαμπρόπουλος, Georgios Evangelidis

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 971 - 971

Published: Jan. 20, 2025

This study aims to examine the combination of educational data mining and learning analytics with virtual reality, augmented mixed metaverse, its role in education, impact on teaching learning. Therefore, a systematic literature review, bibliometric scientific mapping analysis, content analysis are carried out based 70 relevant documents identified from six databases, namely, ACM, ERIC, IEEE, ScienceDirect, Scopus, Web Science (WoS) following PRISMA framework. The were separated into three categories, (i) Theoretical Review studies, (ii) Proposal Showcase (iii) Experimental Case studies examined different dimensions through an in-depth using both quantitative qualitative approaches. further analyzed scientometric tools, such as Bibliometrix VOSviewer topic modeling Latent Dirichlet Allocation (LDA). most prominent topics, areas, themes revealed outcomes regarding influence this summarized. Based results, can effectively enrich positively affect teaching, offer deep meaningful learning, support students teachers. Additionally, it approaches strategies, various styles, special education be utilized formal informal environments. real-time identification, tracking, monitoring, visualization multimodal students’ behavior, emotions, cognitive affective states overall processes emerged significant benefit that contributes greatly realization adaptive personalized Finally, was extended reality technologies collaborative social improve self-efficacy self-regulated increase gains, academic achievements, knowledge retention, motivation, engagement.

Language: Английский

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