Evidence map›Paper›PMID 29541685›Full record

ArticleCognitive research: principles and implications2018

Embodied learning: introducing a taxonomy based on bodily engagement and task integration.

Alexander Skulmowski, Günter Daniel Rey

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. The links between experiential learning and 4E cognition.Annals of the New York Academy of Sciences · 2024
    Review
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  18. No Motor Costs of Physical Education with Eduball.International journal of environmental research and public health · 2022
    Article
  19. Physical Education with Eduball Stimulates Non-Native Language Learning in Primary School Students.International journal of environmental research and public health · 2022
    Article
  20. Article
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

2 authors.

Alexander SkulmowskiPsychology of Learning with Digital Media, Chemnitz University of Technology, Straße der Nationen 12, 09111 Chemnitz, Germany.
Günter Daniel ReyPsychology of Learning with Digital Media, Chemnitz University of Technology, Straße der Nationen 12, 09111 Chemnitz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on learning and education is increasingly influenced by theories of embodied cognition. Several embodiment-based interventions have been empirically investigated, including gesturing, interactive digital media, and bodily activity in general. This review aims to present the most important theoretical foundations of embodied cognition and their application to educational research. Furthermore, we critically review recent research concerning the effectiveness of embodiment interventions and develop a taxonomy to more properly characterize research on embodied cognition. The main dimensions of this taxonomy are bodily engagement (i.e. how much bodily activity is involved) and task integration (i.e. whether bodily activities are related to a learning task in a meaningful way or not). By locating studies on the 2 × 2 grid resulting from this taxonomy and assessing the corresponding learning outcomes, we identify opportunities, problems, and challenges of research on embodied learning.

Indexed as

Bodily activityCognitive loadEmbodied cognitionLearningTask integration

Identifiers

PMID29541685
PMCPMC5840215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.