Academic Development of Multimodal Learning Analytics: A Bibliometric Analysis

Autor/inn/en	Pei, Bo; Xing, Wanli; Wang, Minjuan
Titel	Academic Development of Multimodal Learning Analytics: A Bibliometric Analysis
Quelle	In: Interactive Learning Environments, 31 (2023) 6, S.3543-3561 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Pei, Bo) ORCID (Xing, Wanli) ORCID (Wang, Minjuan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2021.1936075
Schlagwörter	Learning Analytics; Bibliometrics; Publications; Citations (References); Foreign Countries; Authors; Journal Articles; Trend Analysis; Educational Trends; Interdisciplinary Approach; Social Networks; Network Analysis; Universities; Citation Analysis; United States; Sweden; Ecuador; United Kingdom; Chile; Switzerland; Estonia + Suchen Sie Ihr Suchwort? Bibliometrie; Citations; Zitat; Ausland; Author; Autor; Autorin; Journal article; Zeitschriftenaufsatz; Trendanalyse; Bildungsentwicklung; Fächerübergreifender Unterricht; Fächerverbindender Unterricht; Interdisziplinarität; Social network; Soziales Netzwerk; Netzplantechnik; University; Universität; Citation; Zitatenanalyse; USA; Schweden; Großbritannien; Schweiz; Estland
Abstract	Multimodal Learning Analytics (MMLA) has huge potential for extending the work beyond traditional learning analytics for the capabilities of leveraging multiple data modalities (e.g. physiological data, digital tracing data). To shed a light on its applications and academic development, a systematic bibliometric analysis was conducted in this paper. Specifically, we examine the following aspects: (1) Analyzing the yearly publication and citation trends since the year 2010; (2) Recognizing the most prolific countries, institutions, and authors in this field; (3) Identifying the collaborative patterns among countries, institutions, and authors, respectively; (4) Tracing the evolving procedure of the applied keywords and development of the research topics during the last decade. These analytic tasks were conducted on 194 carefully selected articles published since 2010. The analytical results revealed an increasing trend in the number of publications and citations, identified the prominent institutions and scholars with significant academic contributions to the area, and detected the topics (e.g. characterizing learning processes using multimodal data, implementing ubiquitous learning platforms) that received the most attention. Finally, we also highlighted the current research hotspots attempting to initiate potential interdisciplinary collaborations to promote further progress in the area of MMLA. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01