The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Cognitive constraints on multimedia learning: When presenting more material results in less understanding.
Abstract
In 4 experiments, college students viewed an animation and listened to concurrent narration explaining the formation of lightning. When students also received concurrent on-screen text that summarized (Experiment 1) or duplicated (Experiment 2) the narration, they performed worse on tests of retention and transfer than did students who received no on-screen text. This redundancy effect is consistent with a dual-channel theory of multimedia learning in which adding on-screen text can overload the visual information-processing channel, causing learners to split their visual attention between 2 sources. Lower transfer performance also occurred when the authors added interesting but irrelevant details to the narration (Experiment 1) or inserted interesting but conceptually irrelevant video clips within (Experi-ment 3) or before the presentation (Experiment 4). This coherence effect is consistent with a seductive details hypothesis in which the inserted video and narration prime the activation of inappropriate prior knowledge as the organizing schema for the lesson. Multimedia scientific explanations—in CD-ROMs, on the World Wide Web, and in classroom demonstrations—are po-tentially valuable instructional tools. For example, Figure 1 shows selected slides from a 140-s multimedia explanation intended to help students understand how lightning storms develop. The multimedia explanation uses animation to depict the steps in lightning formation along with corresponding narration to describe them. Our research has documented that well designed multimedia explanations formatted like the one in Figure 1 can be highly effective in promoting students' understanding, as indicated by their ability to generate accept-able answers to open-ended transfer questions (Mayer, 1997,
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Simultaneously, this explanation may induce extraneous cognitive load for the high-ability student, because this student is already aware of this information (i.e., it is redundant; see Mayer et al. 2001).”
From Making the Black Box of Collaborative Learning Transparent: Combining Process-Oriented and Cognitive Load Approaches (2010) · cites this paper as Mayer et al. 2001
Citations
Cites
Baddeley, A. (1992) · Science · doi:10.1126/science.1736359 · Cited by 5,258
Mental Representations: A Dual Coding Approach
Paivio, A. (1986) · Medical Entomology and Zoology · Cited by 5,087
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
Dual coding theory and education
Clark, J. M., & Paivio, A. (1991) · Educational Psychology Review · doi:10.1007/bf01320076 · Cited by 2,445
The Role of interest in Learning and Development
Renninger, K. A., Hidi, S. E., Krapp, A., & Renninger, A. (2014) · Psychology Press eBooks · doi:10.4324/9781315807430 · Cited by 1,611
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-citationMultimedia learning: Are we asking the right questions?
Mayer, R. E. (1997) · Educational Psychologist · doi:10.1207/s15326985ep3201_1 · Cited by 1,533
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
Interest and effort in education.
DEWEY, J. M. (1913) · Houghton Mifflin eBooks · doi:10.1037/14633-000 · Cited by 1,449
Mayer, R. E., & Moreno, R. (1998) · Journal of Educational Psychology · doi:10.1037/0022-0663.90.2.312 · Cited by 1,315
Self-citation
Research works printed but not linked: 1
- Mayer, 1999b, The promise of educational psychology.
Cited by
Sorted by citations
Items 1,101–1,160 of 1,160
The Effects of Multisensory Stimulus Presentation in Episodic Memory
Murray, C. A. (2023) · eScholarship (California Digital Library)
Project Leesdas, het Effect van Dynamische Boeken op het Verhaalbegrip van Jonge Kinderen.
Wal, M. V. D. (2011) · Leiden Repository (Leiden University)
університет, Н. Н. А., & освіти, Н. У. І. Ц. (2024) · Digital Library NAES of Ukraine (National Academy of Educational Sciences of Ukraine)
(2017) · Arizona State University Library Digital Repository (Arizona State University)
Bildanalys av finlandssvenska läroböcker i matematik för årskurs 4
Flemming, J. (2023) · Doria (University of Helsinki)
Tagupa, M. A. C., & Dulay, L. A. (2026) · International Journal of Research and Innovation in Applied Science · doi:10.51584/ijrias.2025.10120065
Developing an avatar generator and secure storage using AI
Arnav, A., Om, A., Tanmay, T., Bhanuse, M. S. S., Bhosle, O., & Aniket, B. (2025) · i-manager s Journal on Digital Forensics & Cyber Security · doi:10.26634/jdf.3.2.22344
Schierl, F. (2026) · Tampere University Institutional Repository (Tampere University)
The Effectiveness of Multimedia Presentations in Corporate Communication: A Qualitative Study
Shahariyer, M. R., Islam, S. M. N., & Abdul, M. K. (2026) · Asian Microeconomic Review · doi:10.64907/xkmf.v6i1.amr.7
Simmons, J. L. (2026) · Digital USD (University of San Diego) · doi:10.22371/05.2026.002
Virtual Reality Behavior Change Interventions for Environmental Sustainability
Nirhamo, E. (2026) · UTUPub (University of Turku)
The Power of Signaling: Insights from Prospective Instructional Designers in Canvas Course Design
Tweissi, Q. A. I., Maache, N. E. H., Seth, O. A., Strycker, J., & Adah, W. R. (2026) · Journal of Education and Practice · doi:10.47941/jep.3588
Vandenbroucke, G. (2016) · theses.fr (ABES) · doi:10.70675/da940164z1bc5z4e4bza16ez28f8bf754f74
Nikitopoulos, C. (2017) · theses.fr (ABES) · doi:10.70675/ec63f1dcz622bz4289zafa3z80439a97193d
Mombo, W. T. (2021) · theses.fr (ABES) · doi:10.70675/1d8b11f1z100bz4072z841dzaab216b5f391
Approche de l’action instrumentée dans un cours de veille, depuis l’interface graphique d’un EIAH
Zeller, A. (2023) · theses.fr (ABES) · doi:10.70675/559d4810zb3baz45cazbf15z0b4b6438b3ad
Chu, H., Kim, S., Zhou, C., Hung, Y., Yang, S., Ka, H. W., & Kim, J. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790458
Speaker-Aware Affective Captioning for Multi-Speaker STEM Talk in Inclusive Classrooms
Ubur, S. D., Gračanin, D., DeHart, S. P., Akli, E. K., Sarshartehrani, F., & Adewale, S. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798718
Cognitive Science Society 2025, Arima, T., Baker, S., Chooi, W.-T., Lian, A. E. Z., & Morita, A. (2025) · eScholarship (California Digital Library) · doi:10.48448/mxmc-rn54
Mayer, R. E. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009776660.016
Self-citationMayer, R. E. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009776660.018
Self-citationMayer, R. E. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009776660.007
Self-citationMayer, R. E. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009776660.015
Self-citationMayer, R. E. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009776660.014
Self-citationGuo, X., Gou, J., Tian, J., Xu, K., Pi, Z., & Yang, J. (2025) · Active Learning in Higher Education · doi:10.1177/14697874251356245
Na, H., Prevratil, M. J., Kossowska‐Kuhn, D., Charness, N. H., Sanders, E. C., & Boot, W. R. (2026) · Educational Gerontology · doi:10.1080/03601277.2026.2663352
Mai, T. T., & Doan, L. T. D. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07721-9_56
Samsudin, A., Zahran, M., & Kapıcı, H. Ö. (2026) · Computers in the Schools · doi:10.1080/07380569.2026.2655613
Enhancing Public Response to Meteorological Disaster Warnings: A Perspective from the IDEA Model
Chen, A., Liu, J., Zhu, Z. G., & Hu, J. (2026) · International Journal of Disaster Risk Science · doi:10.1007/s13753-026-00724-y
Lee, H., & Feldman, A. (2015) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-68123-049-820251013
A redundant redundancy principle? examining the redundancy principle through cognitive load
Carranza, A., & Geller, E. H. (2026) · Educational Psychology · doi:10.1080/01443410.2026.2678483
Pu, W., Park, S., Dore, R. A., Bonus, J. A., & Hassinger‐Das, B. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105673
Crafting Persuasive Donation Crowdfunding Appeals: The Influence of Rhetoric and Images
Lim, J. Y. (2026) · Journal of Philanthropy · doi:10.1002/nvsm.70066
Wango, N. C., & Rarieya, J. F. A. (2026) · eCommons - AKU (Aga Khan University)
Tanaka, K., Asaumi, K., Kasai, R., Sato, H., Uchibayashi, R., & Shigenaga, M. (2026) · Theoretical and Applied Ergonomics · doi:10.3390/tae2020010
Liang, L., Yang, B., & Sun, Y. (2026) · Journal of the Association for Information Systems
Zaib, F. (2026) · International Linguistics Research · doi:10.30560/ilr.v9n1p43
Pineda, A. L. (2026) · International Journal of Education, Research, and Innovation Perspectives · doi:10.5281/zenodo.21057205
Gauthreaux, R. C. (2026) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2026.2694049
Cognitive Processes in Detecting Deception
Fisher, R. P., & Evans, J. R. (2026) · Wiley eBooks · doi:10.1002/9781394329045.ch8
Almeida, A. (2026) · ThinkTech (Texas Tech University)
Hoecke, S. M. V., Schrijver, I., Robert, I., & Kruger, J.-L. (2026) · Technology Knowledge and Learning · doi:10.1007/s10758-026-10000-z
Marois, A., Lavallée, I., Boily, G., & Alamán, J. R. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261474518
When Vision and Audition Compete: Trade-offs in Bimodal Word Recognition
Sawada, H., & Ohyama, J. (2026) · International Conference on Communications and Electronics (ICCE) · doi:10.1109/icce70609.2026.11658409
Investigative analysis tool for physics textbook representations: The force diagram case study
Ventura, A. P., Longo, F., Peressi, M., & Bologna, V. (2026) · Physical Review Physics Education Research · doi:10.1103/ryn8-5gd7
Sahaf, F. M., & Wani, T. A. (2026) · Applied Cognitive Psychology · doi:10.1002/acp.70282
Liang, Z., Huang, S., Wu, L., Cheng, Q., & Lü, W. (2026) · Journal of Informetrics · doi:10.1016/j.joi.2026.101873
Niegemann, H., Weinberger, A., Korbach, A., & Malone, S. (2026) · Springer eBooks · doi:10.1007/978-3-662-73355-4_9
Enhancing Digital Learning Through Spatial Contiguity: A Meta-Analysis Study
(2026) · The Journal of Educators Online · doi:10.9743/jeo.2026.23.3.1
Kunchaikaseam, T., Plangsorn, B., & Rampai, N. (2024) · ECT Education and Communication Technology Journal
Li, X., Zeng, Y., Bai, H., Kan, Y., Zhu, J., & Hu, W. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-14162-2
Narrative review: Immersive learning technologies and their role in moral and values-based education
Shegaram, P. C., Balakrishnan, B., & Naidu, N. B. M. (2026) · Journal of Islamic Social Economics and Development
Yıldırım, İ. G., Erden, H., DABANOĞLU, İ., Kara, M. E., Turan, E., Kilimci, F. S., Turker‐Yavas, F., Yavas, E. O., Gürler, F., & Kum, C. (2026) · Animal Health Production and Hygiene · doi:10.53913/aduveterinary.2011681
The lecture in the age of digital reproduction: A convergent mixed-methods study
Hughes, C. J. L. (2024) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
Is More Always More? Multimodality and Delayed Corrective Feedback in Second Language Learning
Grañena, G., Yılmaz, Y., & Canals, L. (2026) · Language Learning · doi:10.1111/lang.70064
Aziz, N., Mutalib, A. B. A., & Sarif, S. M. (2014) · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia)
Engaging students in authoring and playing computer games
Sogathur, V. S. (2012) · Faculty of Education
Text and mimesis: Reconfiguring technology and adult learning
Recchia, N. P. (2011) · USF Scholarship Repository (University of San Francisco)
The cognitive effects of verbal redundancy and animated concept maps on learning
Adesope, O. (2010) · Summit (Simon Fraser University)
Metadata
- Authors
- Mayer, R. E., Heiser, J., & Lonn, S.
- Affiliations
- University of California, Santa Barbara (US)
- ORCID
- Mayer, Richard E.
- Venue
- Journal of Educational Psychology
- Published
- 2001-03
- Volume
- 93
- Issue
- 1
- Pages
- 187-198
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- OpenAlex
- W2000885037
- Semantic Scholar
- c17e261a20efe4601b5b7e0e3e47c833271068c0
- Cited by
- 1,029
- References
- 33
- Citations by year
- 2026: 36 · 2025: 25 · 2024: 27 · 2023: 39 · 2022: 45 · 2021: 47 · 2020: 45 · 2019: 52 · 2018: 47 · 2017: 47 · 2016: 55 · 2015: 58 · 2014: 62 · 2013: 66 · 2012: 54
- FWCI
- 20.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Psychology (publishedVersion)
- 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, redundancy effect, coherence effects, seductive details, visual attention, screen text, narration, animation, retention, transfer, prior knowledge, lightning formation, instructional design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review