Evidence map›Paper›PMID 36254216›Full record

ArticleTechTrends : for leaders in education & training2023

Microlearning in Diverse Contexts: A Bibliometric Analysis.

Rajagopal Sankaranarayanan, Javier Leung, Victoria Abramenka-Lachheb, Grace Seo, Ahmed Lachheb

Abstract read
In one paragraph

Article in TechTrends : for leaders in education & training, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rajagopal SankaranarayananUniversity of Texas at Austin, Austin, TX USA.
Javier LeungUniversity of Missouri, Columbia, MO USA.
Victoria Abramenka-LachhebUniversity of Michigan, Ann Arbor, MI USA.
Grace SeoSeattle Pacific University, Seattle, WA USA.
Ahmed LachhebUniversity of Michigan, Ann Arbor, MI USA.ORCID 0000-0003-4046-6385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BibliometricsInstructional design and technologyMicrolearning

Identifiers

PMID36254216
PMCPMC9557991

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.