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Microlearning in Diverse Contexts: A Bibliometric Analysis.
Sankaranarayanan, Rajagopal; Leung, Javier; Abramenka-Lachheb, Victoria; Seo, Grace; Lachheb, Ahmed.
Afiliação
  • Sankaranarayanan R; University of Texas at Austin, Austin, TX USA.
  • Leung J; University of Missouri, Columbia, MO USA.
  • Abramenka-Lachheb V; University of Michigan, Ann Arbor, MI USA.
  • Seo G; Seattle Pacific University, Seattle, WA USA.
  • Lachheb A; University of Michigan, Ann Arbor, MI USA.
TechTrends ; 67(2): 260-276, 2023.
Article em En | MEDLINE | ID: mdl-36254216
ABSTRACT
In recent years, publications on microlearning have substantially increased, as this topic has received extensive attention from scholars in the instructional design and technology discipline. To better characterize and understand microlearning, there is a need for comprehensive bibliometrics assessments of the literature on microlearning. To this end, this bibliometric study collected 208 relevant publications on microlearning from the Scopus database, published in diverse contexts. Using quantitative topic modeling and qualitative content analysis methods, we identified four major themes in these publications, namely (1) design of microlearning; (2) implementation of microlearning as an instructional method strategy and an intervention; (3) evaluation of microlearning; and (4) the utilization of mobile devices for microlearning. Based on the study findings, we discuss the significance of the study and provide implications for research and practice, particularly in fostering rigorous inquiry on the topic of microlearning, expanding the context of research to include K-12 settings, and focusing on mobile-based microlearning.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: TechTrends Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: TechTrends Ano de publicação: 2023 Tipo de documento: Article