Educational Data Mining versus Learning Analytics

A Review of Publications From 2015 to 2019

Bibliographic Data

ID21631349
AuthorsClare Baek (0000-0002-8517-8355, University of Southern California, corresponding author), Tenzin Doleck (0000-0002-1279-689X, Educational Technology & Learning Design, Simon Fraser University, Burnaby, Canada)
Year2023
Volume31
Issue6
Pages3828-3850
Publication date2023-08-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInteractive Learning Environments (JOURNAL)
Journal identifiersISSN: 1049-4820 • E-ISSN: 1744-5191
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10494820.2021.1943689
OpenAlexW3173781692
LanguageEN
Citations received5
References cited40

To examine the similarities and differences between two closely related yet distinct fields – Educational Data Mining (EDM) and Learning Analytics (LA) – this study conducted a literature review of the empirical studies published in both fields. We synthesized 492 LA and 194 EDM articles published during 2015–2019. We compared the similarities and differences in research across the two fields by examining data analysis tools, common keywords, theories, and definitions listed. We found that most studies in both fields did not clearly identify a theoretical framework. For both fields, theories of self-regulated learning are most frequently used. We found, through keyword analysis, that both fields are closely related to each other as “learning analytics” is most frequently listed keyword for EDM and vice versa for LA. However, one notable difference relates to how LA studies listed social-related keywords whereas EDM studies listed keywords related to technical methods. The tools used for data analysis overlap largely but some of the LA studies listed tools for qualitative data analysis and social network analysis whereas EDM studies did not. Finally, the distinction of the two fields is defined differently by authors as some demarcate the differences whereas some address them interchangeably

Analytics · Data Analysis · Data mining · Data science · Educational Data Mining · Educational research · Empirical research · Epistemology · Learning analytics · Mathematics education · Social media · Social network analysis · World Wide Web · Computer Science · E-Learning and Knowledge Management · Innovative Teaching and Learning Methods · Online Learning and Analytics · Psychology

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