A Decade of Learning Analytics: Structural Topic Modeling Based Bibliometric Analysis

Autor/inn/en	Chen, Xieling; Zou, Di; Xie, Haoran
Titel	A Decade of Learning Analytics: Structural Topic Modeling Based Bibliometric Analysis
Quelle	In: Education and Information Technologies, 27 (2022) 8, S.10517-10561 (45 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Zou, Di)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-022-11046-z
Schlagwörter	Learning Analytics; Educational Research; Bibliometrics; Periodicals; Educational Trends; Trend Analysis; Foreign Countries; Social Networks; Network Analysis + Suchen Sie Ihr Suchwort? Bildungsforschung; Pädagogische Forschung; Bibliometrie; Periodical; Journal; Zeitschrift; Fachzeitschrift; Periodikum; Bildungsentwicklung; Trendanalyse; Ausland; Social network; Soziales Netzwerk; Netzplantechnik
Abstract	Learning analytics (LA) has become an increasingly active field focusing on leveraging learning process data to understand and improve teaching and learning. With the explosive growth in the number of studies concerning LA, it is significant to investigate its research status and trends, particularly the thematic structure. Based on 3900 LA articles published during the past decade, this study explores answers to questions such as "what research topics were the LA community interested in?" and "how did such research topics evolve?" by adopting structural topic modeling and bibliometrics. Major publication sources, countries/regions, institutions, and scientific collaborations were examined and visualized. Based on the analyses, we present suggestions for future LA research and discussions about important topics in the field. It is worth highlighting LA combining various innovative technologies (e.g., visual dashboards, neural networks, multimodal technologies, and open learner models) to support classroom orchestration, personalized recommendation/feedback, self-regulated learning in flipped classrooms, interaction in game-based and social learning. This work is useful in providing an overview of LA research, revealing the trends in LA practices, and suggesting future research directions. (As Provided).
Anmerkungen	Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01