The DOI matches its Crossref record; 82 of the 84 references it cites were found in a registry or an index.
Multimedia Learning
Open accessAbstract
Abstract This article defines and exemplifies multimedia learning and multimedia instruction, describes theoretical frameworks for multimedia learning and multimedia instruction, summarizes evidence-based principles for how to design multimedia instruction, and suggests future trends in multimedia research. Multimedia design principles for reducing extraneous processing include the coherence principle, signaling principle, redundancy principle, spatial contiguity principle, and temporal contiguity principle. Multimedia design principles for managing essential processing include the pre-training principle, segmenting principle, and modality principle. Multimedia design principles for fostering generative processing include the personalization principle, voice principle, embodiment principle, and generative activity principle. Research on multimedia learning represents an example of applying the science of learning to education, and stands as one of educational psychology’s success stories.
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“The VR-STINAT was iteratively developed with the involvement of end-users (CBT therapists, psychiatrists, patients with depression, and healthy individuals), based on cognitive load theory -learning from worked example (33), and Mayer’s cognitive theory of multimedia learning (34).”
From A virtual reality-based self-guided training on identification of negative automatic thoughts in healthy adults: a mixed-methods feasibility study (2024) · cites this paper as [34]
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Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
Cognitive Load Theory and the Format of Instruction
Chandler, P., & Sweller, J. (1991) · Cognition and Instruction · doi:10.1207/s1532690xci0804_2 · Cited by 2,894
Cognitive principles of multimedia learning: The role of modality and contiguity.
Moreno, R., & Mayer, R. E. (1999) · Journal of Educational Psychology · doi:10.1037/0022-0663.91.2.358 · Cited by 1,539
Self-citationWhy Some Material Is Difficult to Learn
Sweller, J., & Chandler, P. (1994) · Cognition and Instruction · doi:10.1207/s1532690xci1203_1 · Cited by 1,455
Kozma, R. B. (1991) · Review of Educational Research · doi:10.3102/00346543061002179 · Cited by 1,429
Mayer, R. E., & Moreno, R. (1998) · Journal of Educational Psychology · doi:10.1037/0022-0663.90.2.312 · Cited by 1,315
Self-citationMayer, R. E., & Sims, V. K. (1994) · Journal of Educational Psychology · doi:10.1037/0022-0663.86.3.389 · Cited by 1,191
Self-citationWhen is an illustration worth ten thousand words?
Mayer, R. E., & Gallini, J. K. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.4.715 · Cited by 1,051
Self-citationMayer, R. E., Heiser, J., & Lonn, S. (2001) · Journal of Educational Psychology · doi:10.1037/0022-0663.93.1.187 · Cited by 1,029
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Items 1,001–1,033 of 1,033
Lui, A. L. C., Not, C., & Wong, G. K. W. (2023) · Journal of Science Education and Technology · doi:10.1007/s10956-023-10035-2 · Cited by 44
Roelle, J., Lehmkuhl, N., Beyer, M.-U., & Berthold, K. (2015) · Journal of Educational Psychology · doi:10.1037/edu0000010 · Cited by 42
Two types of redundancy in multimedia learning: a literature review
Trypke, M., Stebner, F., & Wirth, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1148035 · Cited by 40
A proposed multimedia cone of abstraction: updating a classic instructional design theory
Baukal, C. E. (2013) · i-manager's Journal of Educational Technology · doi:10.26634/jet.9.4.2129 · Cited by 41
Children’s agency by design: Design parameters for personalization in story-making apps
Kucirkova, N. (2019) · International Journal of Child-Computer Interaction · doi:10.1016/j.ijcci.2019.06.003 · Cited by 36
Wouters, P., Paas, F., & van Merriënboer, J. J. G. (2010) · Instructional Science · doi:10.1007/s11251-008-9079-0 · Cited by 37
Adadan, E. (2013) · Research in Science Education · doi:10.1007/s11165-012-9299-9 · Cited by 62
Where is evidence‐based instructional design in medical education curriculum development?
Levinson, A. J. (2010) · Medical Education · doi:10.1111/j.1365-2923.2010.03715.x · Cited by 37
Abbasi, S., & Kazi, H. (2014) · Asian Journal of Applied Science and Engineering · doi:10.15590/ajase/2014/v3i7/53576 · Cited by 67
Think before you talk: an empirical study of relationship between speech pauses and cognitive load
Khawaja, M. A., Ruiz, N., & Chen, F. (2008) · Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat · doi:10.1145/1517744.1517814 · Cited by 30
Using language complexity to measure cognitive load for adaptive interaction design
Khawaja, M. A., Chen, F., & Marcus, N. (2010) · Proceedings of the 15th international conference on Intelligent user interfaces · doi:10.1145/1719970.1720024 · Cited by 32
Comparing visual and auditory presentation for the modification of interpretation bias
Standage, H., Ashwin, C., & Fox, E. (2009) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2009.07.006 · Cited by 31
Pointing and tracing enhance computer-based learning
Ginns, P., & King, V. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09997-0 · Cited by 31
Darejeh, A., Marcus, N., & Sweller, J. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-10024-5 · Cited by 29
Bian, C., Wang, X., Huang, Y., Zhou, S., & Lu, W. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05860-2 · Cited by 30
Effect of mobile application types on stroke rehabilitation: a systematic review
Szeto, S. G., Wan, H., Alavinia, M., Dukelow, S., & MacNeill, H. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01124-9 · Cited by 29
Rethinking AI in Education: Highlighting the Metacognitive Challenge
Levin, I., Marom, M., & Kojukhov, A. (2025) · BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE · doi:10.70594/brain/16.s1/21 · Cited by 31
Innovations With Schema Theory: Modern Implications For Learning, Memory, And Academic Achievement
-, R. M. (2024) · International Journal For Multidisciplinary Research · doi:10.36948/ijfmr.2024.v06i01.13785 · Cited by 19
Does a Strategy Training Foster Students’ Ability to Learn From Multimedia?
Scheiter, K., Schubert, C., Gerjets, P., & Stalbovs, K. (2015) · The Journal of Experimental Education · doi:10.1080/00220973.2013.876603 · Cited by 18
The Split-Attention Principle in Multimedia Learning
Ayres, P., & Sweller, J. (2021) · The Cambridge Handbook of Multimedia Learning · doi:10.1017/9781108894333.020 · Cited by 18
Beyond Knowledge: The Legacy of Competence
(2008) · doi:10.1007/978-1-4020-8827-8 · Cited by 43
Rottstädt, F., Becker, E., Wilz, G., Croy, I., Baumeister, H., & Terhorst, Y. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1335776 · Cited by 11
Trypke, M., Stebner, F., & Wirth, J. (2024) · Education Sciences · doi:10.3390/educsci14080872 · Cited by 11
Rethinking pre-training: cognitive load implications for learners with varying prior knowledge
Gorbunova, A., Kapuza, A., Chen, O., & Costley, J. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1628047 · Cited by 14
An Interactive Scene Generation Using Natural Language
Cheng, Y., Shi, Y., Sun, Z., Feng, D., & Dong, L. (2019) · 2019 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2019.8794327 · Cited by 5
Yang, B., Liao, C., Yang, Y., Shi, B., Zhang, C., & Li, C. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1479207 · Cited by 2
Knauer, J., Baumeister, H., Schmitt, A., & Terhorst, Y. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1352762 · Cited by 2
Key social media travel influencer traits impacting followers’ tourist behavior
Kılıçarslan, D., & Caber, M. (2026) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-07-2025-0588 · Cited by 1
Lund, B., Warren, S. J., & Teel, Z. A. (2026) · Reference Services Review · doi:10.1108/rsr-01-2026-0008 · Cited by 1
(2014) · Medical Entomology and Zoology · Cited by 1,154
(2015) · The turkish online journal of educational technology · Cited by 96
(2008) · Journal of Computers in Mathematics and Science Teaching · Cited by 83
(2007) · Educational Technology archive · Cited by 63
Metadata
- Authors
- Mayer, R.
- Corresponding author
- Mayer, Richard
- ORCID
- Mayer, Richard
- Venue
- The Psychology of learning and motivation/The psychology of learning and motivation
- Publisher
- Cambridge University Press
- Published
- 2020-06-25
- Volume
- 41
- Issue
- 0
- Pages
- 27-139
- ISSN
- 0079-7421 (ISSN-L)
- OpenAlex
- W2337068785
- Cited by
- 7,777
- References
- 84
- Citations by year
- 2026: 644 · 2025: 464 · 2024: 351 · 2023: 303 · 2022: 283 · 2021: 465 · 2020: 384
- FWCI
- 375.16
- Type
- book chapter
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Psychology of learning and motivation/The psychology of learning and motivation (publishedVersion)
- Cambridge University Press eBooks (publishedVersion)
- Oxford University Press eBooks (publishedVersion)
- Routledge eBooks (publishedVersion)
- The Annual Report of Educational Psychology in Japan (publishedVersion)
- HAL (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Online and Blended Learning
- Keywords
- multimedia learning, multimedia teaching, multimedia design principles, coherence principle, signaling principle, redundancy principle, spatial contiguity, temporal contiguity, modality principle, generative processing, science of learning
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