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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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Citations
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
Self-citation
Cited by
Sorted by citations
Items 201–300 of 1,033
An eye-tracking study of how color coding affects multimedia learning
Özçelik, E., Yılmaz, T. K., Kurşun, E., & Çağıltay, K. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.03.002 · Cited by 261
An eye movement analysis of the spatial contiguity effect in multimedia learning.
Johnson, C. I., & Mayer, R. E. (2012) · Journal of Experimental Psychology Applied · doi:10.1037/a0026923 · Cited by 260
Self-citationComplexity and clarity in conceptual modeling: Comparison of mandatory and optional properties
Gemino, A., & Wand, Y. (2005) · Data & Knowledge Engineering · doi:10.1016/j.datak.2004.12.009 · Cited by 239
When Redundant On-Screen Text in Multimedia Technical Instruction Can Interfere With Learning
Kalyuga, S., Chandler, P., & Sweller, J. (2004) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.3.567.50405 · Cited by 261
Adoption of multimedia technology for learning and gender difference
Park, C., Kim, D.-G. “., Cho, S., & Han, H. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.11.029 · Cited by 258
Declarative knowledge acquisition in immersive virtual learning environments
Webster, R. (2016) · Interactive Learning Environments · doi:10.1080/10494820.2014.994533 · Cited by 233
Garzón, J., Kinshuk, Baldiris, S., Gutiérrez, J., & Pavón, J. (2020) · Educational Research Review · doi:10.1016/j.edurev.2020.100334 · Cited by 291
Heidig, S., Müller, J., & Reichelt, M. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.009 · Cited by 269
Masón, L., Tornatora, M. C., & Pluchino, P. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.07.011 · Cited by 244
Adding Instructional Features That Promote Learning in a Game-Like Environment
Mayer, R. E., & Johnson, C. I. (2010) · Journal of Educational Computing Research · doi:10.2190/ec.42.3.a · Cited by 255
Self-citationToward a Cohesive Theory of Visual Literacy
Avgerinou, M. D., & Pettersson, R. (2011) · Journal of Visual Literacy · doi:10.1080/23796529.2011.11674687 · Cited by 265
A Framework for the Use of Immersive Virtual Reality in Learning Environments
Mulders, M., Buchner, J., & Kerres, M. (2020) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v15i24.16615 · Cited by 284
Online Collaborative Learning: Theory and Practice
Roberts, T. S. (2003) · Acquire (CQUniversity) · Cited by 229
The Cambridge Handbook of Bilingualism
(2018) · Cambridge University Press eBooks · doi:10.1017/9781316831922 · Cited by 232
Clarke, T., Ayres, P., & Sweller, J. (2005) · Educational Technology Research and Development · doi:10.1007/bf02504794 · Cited by 227
A framework for empirical evaluation of conceptual modeling techniques
Gemino, A., & Wand, Y. (2004) · Requirements Engineering · doi:10.1007/s00766-004-0204-6 · Cited by 228
Teaching with digital technology
Clark‐Wilson, A., Robutti, O., & Thomas, M. O. J. (2020) · ZDM · doi:10.1007/s11858-020-01196-0 · Cited by 327
Process and learning outcomes from remotely-operated, simulated, and hands-on student laboratories
Corter, J. E., Esche, S. K., Chassapis, C., Ma, J., & Nickerson, J. V. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.04.009 · Cited by 245
The interplay between self-regulation in learning and cognitive load
Seufert, T. (2018) · Educational Research Review · doi:10.1016/j.edurev.2018.03.004 · Cited by 227
Corter, J. E., Nickerson, J. V., Esche, S. K., Chassapis, C., Im, S., & Ma, J. (2007) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1275511.1275513 · Cited by 237
Liao, C.-W., Chen, C., & Shih, S.-J. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.01.013 · Cited by 265
How to Optimize Learning From Animated Models: A Review of Guidelines Based on Cognitive Load
Wouters, P., Paas, F., & van Merriënboer, J. J. G. (2008) · Review of Educational Research · doi:10.3102/0034654308320320 · Cited by 224
Emerging Technologies in Distance Education
Veletsianos, G. (2010) · Athabasca University Press eBooks · doi:10.15215/aupress/9781897425763.01 · Cited by 225
Antle, A. N., & Wise, A. F. (2013) · Interacting with Computers · doi:10.1093/iwc/iws007 · Cited by 240
Huang, W., Roscoe, R. D., Johnson‐Glenberg, M. C., & Craig, S. D. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12520 · Cited by 261
The Worked-Out Examples Principle in Multimedia Learning
Renkl, A. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.016 · Cited by 231
A testing effect with multimedia learning.
Johnson, C. I., & Mayer, R. E. (2009) · Journal of Educational Psychology · doi:10.1037/a0015183 · Cited by 252
Self-citationThe instructor’s face in video instruction: Evidence from two large-scale field studies.
Kizilcec, R. F., Bailenson, J. N., & Gomez, C. (2015) · Journal of Educational Psychology · doi:10.1037/edu0000013 · Cited by 236
The Impact of Whatsapp Use on Success in Education Process
Çetinkaya, L. (2017) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v18i7.3279 · Cited by 260
Optimizing cognitive load for learning from computer-based science simulations.
Lee, H., Plass, J. L., & Homer, B. D. (2006) · Journal of Educational Psychology · doi:10.1037/0022-0663.98.4.902 · Cited by 227
(2006) · European Journal of Open Distance and E-Learning · Cited by 217
Cooper, M. M., & Klymkowsky, M. W. (2013) · Journal of Chemical Education · doi:10.1021/ed300456y · Cited by 228
Klepsch, M., & Seufert, T. (2020) · Instructional Science · doi:10.1007/s11251-020-09502-9 · Cited by 263
Mayer, R. E., Mathias, A., & Wetzell, K. (2002) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.8.3.147 · Cited by 214
Self-citationCastro-Alonso, J. C., de Koning, B. B., Fiorella, L., & Paas, F. (2021) · Educational Psychology Review · doi:10.1007/s10648-021-09606-9 · Cited by 278
Nückles, M., Roelle, J., Glogger-Frey, I., Waldeyer, J., & Renkl, A. (2020) · Educational Psychology Review · doi:10.1007/s10648-020-09541-1 · Cited by 213
Kirkley, S. E., & Kirkley, J. R. (2005) · TechTrends · doi:10.1007/bf02763646 · Cited by 224
What works and doesn't work with instructional video
Fiorella, L., & Mayer, R. E. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.015 · Cited by 272
Self-citationSchrader, C., & Bastiaens, T. J. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.11.011 · Cited by 222
Long, T., Logan, J., & Waugh, M. (2016) · TechTrends · doi:10.1007/s11528-016-0045-4 · Cited by 246
Lecture capture in large undergraduate classes: Student perceptions and academic performance
Owston, R., Lupshenyuk, D., & Wideman, H. H. (2011) · The Internet and Higher Education · doi:10.1016/j.iheduc.2011.05.006 · Cited by 220
Narrative games for learning: Testing the discovery and narrative hypotheses.
Adams, D. M., Mayer, R. E., MacNamara, A., Koenig, A., & Wainess, R. (2012) · Journal of Educational Psychology · doi:10.1037/a0025595 · Cited by 207
Self-citationElements of a Science of E-Learning
Mayer, R. E. (2003) · Journal of Educational Computing Research · doi:10.2190/yjlg-09f9-xkax-753d · Cited by 225
Self-citationIntroduction to Multimedia Learning
Mayer, R. E. (2020) · Cambridge University Press eBooks · doi:10.1017/9781316941355.002 · Cited by 209
Self-citationMultimedia Learning in Games, Simulations, and Microworlds
Rieber, L. P. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.034 · Cited by 210
The impact of online video lecture recordings and automated feedback on student performance
Wieling, M. B., & Hofman, R. H. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.10.002 · Cited by 216
Virtual reality and brain anatomy: a randomised trial of e‐learning instructional designs
Levinson, A. J., Weaver, B., Garside, S., McGinn, H. C., & Norman, G. R. (2007) · Medical Education · doi:10.1111/j.1365-2929.2006.02694.x · Cited by 206
Cognitive Load Theory: Historical Development and Relation to Other Theories
Moreno, R., & Park, B. (2010) · Cognitive Load Theory · doi:10.1017/cbo9780511844744.003 · Cited by 204
International Journal of Historical Learning, Teaching and Research
Cooper, H., Guyver, R. M., Epstein, T., Burn, K., & Chapman, A. (2014) · Cited by 204
A theoretical framework of design critiquing in architecture studios
Oh, Y., Ishizaki, S., Gross, M. D., & Yi–Luen, E. (2012) · Design Studies · doi:10.1016/j.destud.2012.08.004 · Cited by 216
Altmeyer, K., Kapp, S., Thees, M., Malone, S., Kühn, J., & Brünken, R. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12900 · Cited by 244
Xu, P., Chen, L., & Santhanam, R. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.03.001 · Cited by 211
Neuman, S. B., Newman, E. H., & Dwyer, J. F. (2011) · Reading Research Quarterly · doi:10.1598/rrq.46.3.3 · Cited by 216
Leutner, D., Leopold, C., & Sumfleth, E. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.010 · Cited by 223
When auditory presentations should and should not be a component of multimedia instruction
Leahy, W., Chandler, P., & Sweller, J. (2003) · Applied Cognitive Psychology · doi:10.1002/acp.877 · Cited by 210
Using avatars and virtual environments in learning: What do they have to offer?
Falloon, G. (2009) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2009.00991.x · Cited by 207
Chatbot-assisted dynamic assessment (CA-DA) for L2 vocabulary learning and diagnosis
Jeon, J. (2023) · Computer Assisted Language Learning · doi:10.1080/09588221.2021.1987272 · Cited by 202
Mayer, R. E., Griffith, E., Jurkowitz, I. T. N., & Rothman, D. (2008) · Journal of Experimental Psychology Applied · doi:10.1037/a0013835 · Cited by 213
Self-citationScience text comprehension: Drawing, main idea selection, and summarizing as learning strategies
Leopold, C., & Leutner, D. (2011) · Learning and Instruction · doi:10.1016/j.learninstruc.2011.05.005 · Cited by 213
Mayer, R. E. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.014 · Cited by 204
Self-citationPictorial aids for learning by doing in a multimedia geology simulation game.
Mayer, R. E., Mautone, P. D., & Prothero, W. A. (2002) · Journal of Educational Psychology · doi:10.1037/0022-0663.94.1.171 · Cited by 197
Self-citationArcia, A., Suero-Tejeda, N. M., Bales, M. E., Merrill, J. A., Yoon, S., Woollen, J., & Henry, S. B. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv079 · Cited by 206
Holzinger, A., Kickmeier-Rust, M., Wassertheurer, S., & Hessinger, M. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.08.008 · Cited by 197
Integrating CALL into the classroom: the role of podcasting in an ESL listening strategies course
O’BRIEN, A., & Hegelheimer, V. H. (2007) · ReCALL · doi:10.1017/s0958344007000523 · Cited by 219
An eye-tracking study of cueing effects in multimedia learning
Jamet, É. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.11.013 · Cited by 205
Magner, U., Schwonke, R., Aleven, V. A. W. M. M., Popescu, O., & Renkl, A. (2012) · Learning and Instruction · doi:10.1016/j.learninstruc.2012.07.002 · Cited by 208
Embodied science and mixed reality: How gesture and motion capture affect physics education
Johnson-Glenberg, M. C., & Megowan-Romanowicz, C. (2017) · Cognitive Research: Principles and Implications · doi:10.1186/s41235-017-0060-9 · Cited by 191
Role of expectations and explanations in learning by teaching
Fiorella, L., & Mayer, R. E. (2014) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2014.01.001 · Cited by 202
Self-citationTwelve tips for the effective use of videos in medical education
Dong, C., & Goh, P. S. (2014) · Medical Teacher · doi:10.3109/0142159x.2014.943709 · Cited by 201
Eye tracking in Educational Science: Theoretical frameworks and research agendas
Jarodzka, H., Holmqvist, K., & Gruber, H. G. (2017) · Journal of Eye Movement Research · doi:10.16910/jemr.10.1.3 · Cited by 216
Moore, J. C., Bourne, J. R., & Mayadas, A. F. (2005) · IGI Global eBooks · doi:10.4018/978-1-59140-555-9.ch245 · Cited by 188
Tang, K., Delgado, C., & Moje, E. B. (2014) · Science Education · doi:10.1002/sce.21099 · Cited by 205
An Integrative Theory of Motivation, Volition, and Performance
Keller, J. M. (2008) · Cited by 186
Fidan, M., & Gencel, N. (2022) · Journal of Educational Computing Research · doi:10.1177/07356331221077901 · Cited by 186
Self-regulated Learning with MetaTutor: Advancing the Science of Learning with MetaCognitive Tools
Azevedo, R., Johnson, A., Chauncey, A., & Burkett, C. (2010) · New Science of Learning · doi:10.1007/978-1-4419-5716-0_11 · Cited by 189
Using video and static pictures to improve learning of procedural contents
Arguel, A., & Jamet, É. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.014 · Cited by 199
Yılmaz, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.055 · Cited by 195
A Review of Using Virtual Reality for Learning
Lee, E. A. L., & Wong, K. W. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69744-2_18 · Cited by 186
Moro, C., Štromberga, Z., & Stirling, A. (2017) · Australasian Journal of Educational Technology · doi:10.14742/ajet.3840 · Cited by 197
Challenges in supporting self-regulation in distance education environments
Bol, L., & Garner, J. (2011) · Journal of Computing in Higher Education · doi:10.1007/s12528-011-9046-7 · Cited by 205
Schroeder, N. L., & Cenkci, A. T. (2018) · Educational Psychology Review · doi:10.1007/s10648-018-9435-9 · Cited by 210
Fostering multimedia learning of science: Exploring the role of an animated agent’s image
Dunsworth, Q., & Atkinson, R. K. (2007) · Computers & Education · doi:10.1016/j.compedu.2005.11.010 · Cited by 178
Multimedia Learning in Second Language Acquisition
Plass, J. L., & Jones, L. C. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.030 · Cited by 186
Conrad, C., Deng, Q., Caron, I., Shkurska, O., Skerrett, P., & Sundararajan, B. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13206 · Cited by 217
Huang, W. D. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.07.021 · Cited by 196
Moreno, R., & Flowerday, T. (2005) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2005.05.002 · Cited by 188
Clark, D. B., Nelson, B. C., Chang, H., Martinez-Garza, M. M., Slack, K., & D’Angelo, C. M. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.05.007 · Cited by 192
The Effect of Mobile Phone Screen Size on Video Based Learning
Maniar, N. J., Bennett, E., Hand, S., & Allan, G. (2008) · Journal of Software · doi:10.4304/jsw.3.4.51-61 · Cited by 182
A CONSTRUCTIVIST MODEL FOR THINKING ABOUT LEARNING ONLINE
Swan, K. P. (2005) · Cited by 172
Cognitive Load Theory and Human Movement: Towards an Integrated Model of Working Memory
Sepp, S., Howard, S. J., Tindall‐Ford, S., Agostinho, S., & PAAS, F. G. W. C. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09461-9 · Cited by 207
Procedural Instructions, Principles, and Examples
Eiríksdóttir, E., & Catrambone, R. (2011) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720811419154 · Cited by 193
Harley, J. M., Poitras, E., Jarrell, A., Duffy, M. C., & Lajoie, S. P. (2016) · Educational Technology Research and Development · doi:10.1007/s11423-015-9420-7 · Cited by 194
Yoon, M., Lee, J., & Jo, I. (2021) · The Internet and Higher Education · doi:10.1016/j.iheduc.2021.100806 · Cited by 202
Multimedia glosses and their effect on L2 text comprehension and vocabulary learning
Yanguas, Í. (2009) · Language learning & technology · doi:10.64152/10125/44180 · Cited by 176
Craig, S. D., Sullins, J., Witherspoon, A. M., & Gholson, B. (2006) · Cognition and Instruction · doi:10.1207/s1532690xci2404_4 · Cited by 174
Volandes, A. E., Paasche‐Orlow, M. K., Mitchell, S. L., El-Jawahri, A. R., Davis, A. D., Barry, M. J., Hartshorn, K. L., Jackson, V. A., Gillick, M. R., Walker-Corkery, E. S., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.43.9570 · Cited by 174
Flow framework for analyzing the quality of educational games
Kiili, K. J. M., Lainema, T., de Freitas, S., & Arnab, S. (2014) · Entertainment Computing · doi:10.1016/j.entcom.2014.08.002 · Cited by 190
Johnson, C. I., & Mayer, R. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.025 · Cited by 180
Self-citationMayer, R. E., & Moreno, R. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511844744.009 · Cited by 194
Self-citationThe interactive animated e-book as a word learning device for kindergartners
Smeets, D. J. H., & Bus, A. G. (2014) · Applied Psycholinguistics · doi:10.1017/s0142716413000556 · Cited by 187
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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