Evidence map›Paper›PMID 42827463›Full record

ArticleFrontiers in psychology2026

Multimedia learning with multiple modalities beyond hearing and sight.

Daniel Laumann, Paul Schlummer, Susanne Heinicke, Stefan Heusler, Stephan Dutke

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Daniel LaumannInstitute of Physics Education, University of Münster, Münster, Germany.
Paul SchlummerInstitute of Physics Education, University of Münster, Münster, Germany.
Susanne HeinickeInstitute of Physics Education, University of Münster, Münster, Germany.
Stefan HeuslerInstitute of Physics Education, University of Münster, Münster, Germany.
Stephan DutkeInstitute for Psychology in Education, University of Münster, Münster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Education and educational research fundamentally rely on advancing learning via multiple representations and comprehensive technological developments that address various sensory modalities. For a more profound understanding of learning processes associated with multimodal learning, psychological theories and models are essential. For the last two decades, most of these processes have been traced to the cognitive theory of multimedia learning and the integrated model of text and picture comprehension, both of which focus on bimodal learning with words and static or animated pictures. However, the field lacks a more comprehensive theoretical approach and more empirical evidence for principles of multimedia learning that address multimedia learning beyond common representations and modalities. Therefore, we propose implications for expanding existing theories by describing learning that involves multiple external representations and addresses various sensory modalities beyond just hearing and sight. In addition, for this theoretical extension, we derive implications for expanded and adapted principles of multimedia learning that include further sensory modalities. Overall, the extension and implications presented here represent drivers for future research on multimodal learning with multiple representations.

Indexed as

cognitive theory of multimedia learningintegrated model of text and picture comprehensionmultimedia learningmultimodal learningmultiple representations

Identifiers

PMID42827463
PMCPMC13630630

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.