Cited by 7,777Visual and Cognitive Learning ProcessesInnovative Teaching and Learning MethodsOnline and Blended Learning

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Multimedia Learning

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Mayer, Richard·2020·The Psychology of learning and motivation/The psychology of learning and motivation

DOI 10.1017/9781316941355

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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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Logic and Conversation
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
Working Memory
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-citation
Why Some Material Is Difficult to Learn
Sweller, J., & Chandler, P. (1994) · Cognition and Instruction · doi:10.1207/s1532690xci1203_1 · Cited by 1,455
Learning with Media
Kozma, R. B. (1991) · Review of Educational Research · doi:10.3102/00346543061002179 · Cited by 1,429
A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory.
Mayer, R. E., & Moreno, R. (1998) · Journal of Educational Psychology · doi:10.1037/0022-0663.90.2.312 · Cited by 1,315
Self-citation
For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning.
Mayer, R. E., & Sims, V. K. (1994) · Journal of Educational Psychology · doi:10.1037/0022-0663.86.3.389 · Cited by 1,191
Self-citation
When 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-citation
Cognitive constraints on multimedia learning: When presenting more material results in less understanding.
Mayer, 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

Show all 84 references

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Ploetzner, R., Berney, S., & Bétrancourt, M. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12476 · Cited by 95
Can We “Snowfall” This?
Dowling, D. O., & Vogan, T. (2014) · Digital Journalism · doi:10.1080/21670811.2014.930250 · Cited by 94
Learning from multiple representations: An examination of fixation patterns in a science simulation
O’Keefe, P. A., Letourneau, S. M., Homer, B. D., Schwartz, R. N., & Plass, J. L. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.02.040 · Cited by 84
Effects of presentation modes on mobile-assisted vocabulary learning and cognitive load
Lin, C., & Yu, Y.-C. (2016) · Interactive Learning Environments · doi:10.1080/10494820.2016.1155160 · Cited by 88
Training of Low-Literacy and Low-English-Proficiency Hispanic Workers on Construction Fall Fatality
Lin, K., Lee, W., Azari, R. S., & Migliaccio, G. C. (2017) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000573 · Cited by 82
Dynamic visualisations and learning
Ploetzner, R., & Lowe, R. (2004) · Learning and Instruction · doi:10.1016/j.learninstruc.2004.06.001 · Cited by 81
The more total cognitive load is reduced by cues, the better retention and transfer of multimedia learning: A meta-analysis and two meta-regression analyses
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Araiza-Alba, P., Keane, T., & Kaufman, J. (2022) · Technology Pedagogy and Education · doi:10.1080/1475939x.2022.2033307 · Cited by 92
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Global, N., & Kazanskaia, A. N. (2025) · doi:10.64357/developing-training-programs-2025 · Cited by 76
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Morris, C., & Chikwa, G. (2013) · Active Learning in Higher Education · doi:10.1177/1469787413514654 · Cited by 83
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Chiu, T. K. F., & Churchill, D. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.12.001 · Cited by 82
Literacy and Retention of Information After a Multimedia Diabetes Education Program and Teach-Back
Kandula, N. R., Malli, T., Zei, C. P., Larsen, E., & Baker, D. W. (2011) · Journal of Health Communication · doi:10.1080/10810730.2011.604382 · Cited by 77
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Beacham, N., & Alty, J. (2004) · Computers & Education · doi:10.1016/j.compedu.2004.10.006 · Cited by 82
Prezi versus PowerPoint: The effects of varied digital presentation tools on students’ learning performance
Chou, P., Chang, C., & Lu, P.-F. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.10.020 · Cited by 90
Self‐regulated learning from illustrated text: Eye movement modelling to support use and regulation of cognitive processes during learning from multimedia
Scheiter, K., Schubert, C., & Schüler, A. (2017) · British Journal of Educational Psychology · doi:10.1111/bjep.12175 · Cited by 83
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Verhoeven, L. T. W., Schnotz, W., & PAAS, F. G. W. C. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.002 · Cited by 83
Toward a validation of cyber-interventions for stress disorders based on stress inoculation training: a systematic review
Serino, S., Triberti, S., Villani, D., Cipresso, P., Gaggioli, A., & Riva, G. (2014) · Virtual Reality · doi:10.1007/s10055-013-0237-6 · Cited by 75
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Strategy shifts during learning from texts and pictures.
Schnotz, W., Ludewig, U., Ullrich, M., Horz, H., McElvany, N., & Baumert, J. (2014) · Journal of Educational Psychology · doi:10.1037/a0037054 · Cited by 80
Using multimedia learning modules in a hybrid-online course in electricity and magnetism
Sadaghiani, H. R. (2011) · Physical Review Special Topics - Physics Education Research · doi:10.1103/physrevstper.7.010102 · Cited by 79
Integrating self-explanation functionality into a complex game environment: Keeping gaming in motion
Adams, D. M., & Clark, D. B. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.01.002 · Cited by 84
Exploring the relationships between Web usability and students’ perceived learning in Web-based multimedia (WBMM) tutorials
Mackey, T. P., & Ho, J. (2006) · Computers & Education · doi:10.1016/j.compedu.2006.08.006 · Cited by 82
Effects of visual cues and self-explanation prompts: empirical evidence in a multimedia environment
Lin, L., Atkinson, R. K., Savenye, W. C., & Nelson, B. C. (2014) · Interactive Learning Environments · doi:10.1080/10494820.2014.924531 · Cited by 81
Is spoken text always better? Investigating the modality and redundancy effect with longer text presentation
Schüler, A., Scheiter, K., & Gerjets, P. H. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.01.047 · Cited by 84
Online Learning Based on Essential Concepts and Formative Assessment
Lawton, D. T., Vye, N. J., Bransford, J. D., Sanders, E. A., Richey, M., French, D., & Stephens, R. (2012) · Journal of Engineering Education · doi:10.1002/j.2168-9830.2012.tb00050.x · Cited by 79
An imagination effect in learning from scientific text.
Leopold, C., & Mayer, R. E. (2014) · Journal of Educational Psychology · doi:10.1037/a0037142 · Cited by 81
Self-citation
Enhancement of classroom facilities of primary schools and its impact on learning behaviors of students
Leung, M., & Fung, I. W. H. (2005) · Facilities · doi:10.1108/02632770510627561 · Cited by 84
Designing multimedia learning environments using animated pedagogical agents: factors and issues
Woo, H. L. (2008) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2008.00299.x · Cited by 80
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Yeo, C. T., MacDonald, A., Ungi, T., Lassó, A., Jalink, D. W., Zevin, B., Gabor Fichtinger, A., & Nanji, S. A. (2017) · Journal of surgical education · doi:10.1016/j.jsurg.2017.07.031 · Cited by 74
Constructing Knowledge from Dialog in an Intelligent Tutoring System: Interactive Learning, Vicarious Learning, and Pedagogical Agents
Craig, S. D., Driscoll, D. M., & Gholson, B. (2004) · Journal of educational multimedia and hypermedia · Cited by 75
The Use of Augmented Reality Technology in Medical Specimen Museum Tours
Sugiura, A., Kitama, T., Toyoura, M., & Mao, X. (2018) · Anatomical Sciences Education · doi:10.1002/ase.1822 · Cited by 81
Mobile Learning and Mobile Assisted Language Learning in Focus
Çakmak, F. (2019) · DergiPark (Istanbul University) · Cited by 74
Providing Balanced Information about Options in Patient Decision Aids: An Update from the International Patient Decision Aid Standards
Martin, R. W., Andersen, S. B., O’Brien, M. A., Bravo, P., Hoffmann, T., Olling, K., Shepherd, H. L., Dankl, K., Stacey, D., & Steffensen, K. D. (2021) · Medical Decision Making · doi:10.1177/0272989x211021397 · Cited by 78
Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data
Kim, T.-K., Jo, H., Yhee, Y., & Koo, C. (2022) · Electronic Markets · doi:10.1007/s12525-021-00514-y · Cited by 83
The use of immersive technologies in distance education: A systematic review
Turan, Z., & Karabey, S. Ç. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11849-8 · Cited by 90
A review of multimedia glosses and their effects on L2 vocabulary acquisition in CALL literature
Mohsen, M. A., & Balakumar, M. (2011) · ReCALL · doi:10.1017/s095834401100005x · Cited by 75
Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment
Liu, T., Lin, Y.-C., & PAAS, F. G. W. C. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.10.019 · Cited by 84
A randomized study of multimedia informational aids for research on medical practices: Implications for informed consent
Kraft, S. A., Constantine, M. L., Magnus, D. C., Porter, K. M., Lee, S. S., Green, M. J., KASS, N. E., Wilfond, B. S., & Cho, M. K. (2016) · Clinical Trials · doi:10.1177/1740774516669352 · Cited by 77
Anthropomorphism in decorative pictures: Benefit or harm for learning?
Schneider, S., Nebel, S., Beege, M., & Rey, G. D. (2017) · Journal of Educational Psychology · doi:10.1037/edu0000207 · Cited by 82
Vicarious Learning: Effects of Overhearing Dialog and Monologue-like Discourse in a Virtual Tutoring Session
Driscoll, D. M., Craig, S. D., Gholson, B., Ventura, M., Hu, X., & Graesser, A. C. (2003) · Journal of Educational Computing Research · doi:10.2190/q8cm-fh7l-6hju-dt9w · Cited by 73
When imagining information is effective
Ginns, P., Chandler, P., & Sweller, J. (2003) · Contemporary Educational Psychology · doi:10.1016/s0361-476x(02)00016-4 · Cited by 78
Does Trial presentation medium matter in jury simulation research? Evaluating the effectiveness of eyewitness expert testimony
Pezdek, K., Avila‐Mora, E., & Sperry, K. (2009) · Applied Cognitive Psychology · doi:10.1002/acp.1578 · Cited by 80
On-line Tutoring for Math Achievement Testing: A Controlled Evaluation
Beal, C. R., Walles, R., Arroyo, I., & Woolf, B. P. (2007) · Cited by 73
My science tutor: A conversational multimedia virtual tutor.
Ward, W., Cole, R., Bolaños, D., Buchenroth-Martin, C., Svirsky, E., & Weston, T. (2013) · Journal of Educational Psychology · doi:10.1037/a0031589 · Cited by 81
Learner expertise and mathematics different order thinking skills in multimedia learning
Chiu, T. K. F., & Mok, I. A. C. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.01.008 · Cited by 81
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Instructional effectiveness of a computer-supported program for teaching reading comprehension strategies
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Self-citation
Epilogue: Plotting a Research Agenda for Multiple Representations, Multiple Modality, and Multimodal Representational Competency
Yore, L. D., & Hand, B. M. (2010) · Research in Science Education · doi:10.1007/s11165-009-9160-y · Cited by 73
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Günel, M., Hand, B. M., & Gunduz, S. (2006) · Science Education · doi:10.1002/sce.20160 · Cited by 77
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Dalton, B., & Grisham, D. L. (2011) · The Reading Teacher · doi:10.1598/rt.64.5.1 · Cited by 88
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McCrudden, M. T., & Rapp, D. N. (2015) · Educational Psychology Review · doi:10.1007/s10648-015-9342-2 · Cited by 84
Adaptable scripting to foster regulation processes and skills in computer-supported collaborative learning
Wang, X., Kollar, I., & Stegmann, K. (2017) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-017-9254-x · Cited by 76
Observational learning from animated models: Effects of modality and reflection on transfer
Wouters, P., Paas, F., & van Merriënboer, J. J. G. (2009) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2008.03.001 · Cited by 71
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Lim, F. P. (2017) · Advanced science and technology letters · doi:10.14257/astl.2017.143.46 · Cited by 74
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Graesser, A. C., Sabatini, J., & Li, H. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-020821-113042 · Cited by 101
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Teng, M. F. (2022) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2022.2131791 · Cited by 181
Effects on learning of multimedia animation combined with multidimensional concept maps
Chiou, C., Tien, L.-C., & Lee, L.-T. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.09.002 · Cited by 79
Student misinterpretations and misconceptions based on their explanations of two computer animations of varying complexity depicting the same oxidation–reduction reaction
Rosenthal, D. P., & Sanger, M. J. (2012) · Chemistry Education Research and Practice · doi:10.1039/c2rp20048a · Cited by 70
Diagnostische Fähigkeiten von Lehrkräften
McElvany, N., Schroeder, S., Hachfeld, A., Baumert, J., Richter, T., Schnotz, W., Horz, H., & Ullrich, M. (2009) · Zeitschrift für Pädagogische Psychologie · doi:10.1024/1010-0652.23.34.223 · Cited by 86
Exploring the effects of seductive details with the 4-phase model of interest
Wang, Z., & Adesope, O. (2016) · Learning and Motivation · doi:10.1016/j.lmot.2016.06.003 · Cited by 79
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Opfermann, M., Schmeck, A., & Fischer, H. E. (2017) · Models and modeling in science education · doi:10.1007/978-3-319-58914-5_1 · Cited by 95
Framing fast and slow: a dual processing account of multimodal framing effects
Powell, T. E., Boomgaarden, H. G., Swert, K. D., & de Vreese, C. H. (2018) · Media Psychology · doi:10.1080/15213269.2018.1476891 · Cited by 81
The effect of the “Prediction-observation-quiz-explanation” inquiry-based e-learning model on flow experience in green energy learning
Hong, J., Tsai, C.-R., Hsiao, H., Chen, P., Chu, K.-C., Gu, J., & Sitthiworachart, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.01.009 · Cited by 76
The effects of digital learning material on students’ mathematics learning in vocational education
Zwart, D. P., Luit, J. E. H. V., Noroozi, O., & Goei, S. L. (2017) · Cogent Education · doi:10.1080/2331186x.2017.1313581 · Cited by 83
On the benefits of multimodal annotations for vocabulary uptake from reading
Boers, F., Warren, P., Grimshaw, G. M., & Siyanova‐Chanturia, A. (2017) · Computer Assisted Language Learning · doi:10.1080/09588221.2017.1356335 · Cited by 80
The effects of video caption types and advance organizers on incidental L2 collocation learning
Teng, M. F. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103655 · Cited by 80
An Experimental Study on Reading in High-Immersion Virtual Reality
Kaplan‐Rakowski, R., & Gruber, A. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13392 · Cited by 85
The Collaboration Principle in Multimedia Learning
Jonassen, D. H., Lee, C. B., Yang, C.-C., & Laffey, J. M. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816819.017 · Cited by 72
Direct-manipulation animation: incorporating the haptic channel in the learning process to support middle school students in science learning and mental model acquisition
Chan, M., & Black, J. B. (2006) · International Conference of Learning Sciences · doi:10.22318/icls2006.64 · Cited by 71
Anatomy drawing screencasts: Enabling flexible learning for medical students
Pickering, J. D. (2014) · Anatomical Sciences Education · doi:10.1002/ase.1480 · Cited by 72
Student and Faculty Member Perspectives on Lecture Capture in Pharmacy Education
Marchand, J.-P., Pearson, M. L., & Albon, S. P. (2014) · American Journal of Pharmaceutical Education · doi:10.5688/ajpe78474 · Cited by 75
Measuring cognitive load and cognition: metrics for technology-enhanced learning
Martin, S. (2014) · Educational Research and Evaluation · doi:10.1080/13803611.2014.997140 · Cited by 88
The ‘Ins’ and ‘Outs’ of Learning: Internal Representations and External Visualizations
Rapp, D. N., & Kurby, C. A. (2007) · Springer eBooks · doi:10.1007/978-1-4020-5267-5_2 · Cited by 73
The Feedback Principle in Multimedia Learning
Johnson, C. I., & Priest, H. A. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139547369.023 · Cited by 79
Measuring Effectiveness of Persuasive Games Using an Informative Control Condition
Soekarjo, M., & van Oostendorp, H. (2015) · International Journal of Serious Games · doi:10.17083/ijsg.v2i2.74 · Cited by 74
Improving Listening Skills in English as a Foreign Language by Reading Rather than Listening: A Cognitive Load Perspective
Moussa‐Inaty, J., Ayres, P., & Sweller, J. (2011) · Applied Cognitive Psychology · doi:10.1002/acp.1840 · Cited by 75
Design review of MOOCs: application of e-learning design principles
Oh, E. G., Chang, Y., & Park, S. W. (2019) · Journal of Computing in Higher Education · doi:10.1007/s12528-019-09243-w · Cited by 82
The effects of social and cognitive cues on learning comprehension, eye-gaze pattern, and cognitive load in video instruction
Moon, J., & Ryu, J. (2020) · Journal of Computing in Higher Education · doi:10.1007/s12528-020-09255-x · Cited by 84
Interactive e-book reading vs. paper-based reading: Comparing the effects of different mediums on middle school students’ reading comprehension
Lim, J., Whitehead, G. E. K., & Choi, Y. (2020) · System · doi:10.1016/j.system.2020.102434 · Cited by 97
Investigating the redundancy principle in immersive virtual reality environments: An eye‐tracking and EEG study
Baceviciute, S., Lucas, G., Terkildsen, T. S., & Makransky, G. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12595 · Cited by 77
Fostering Students' Comprehension of Topographic Maps
Rapp, D. N., Culpepper, S. A., Kirkby, K. C., & Morin, P. (2007) · Journal of Geoscience Education · doi:10.5408/1089-9995-55.1.5 · Cited by 70
How pacing of multimedia instructions can influence modality effects: A case of superiority of visual texts
Stiller, K. D., Freitag, A., Zinnbauer, P., & Freitag, C. (2009) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1149 · Cited by 73
The Effect of Learning Styles on Achievement in Different Learning Environments.
Yılmaz-Soylu, M., & Akkoyunlu, B. (2009) · Cited by 68
Do videos improve website satisfaction and recall of online cancer-related information in older lung cancer patients?
Bol, N., Smets, E. M. A., Rutgers, M. M., Burgers, J. A., de Haes, J. C. J. M., Loos, E. F., & van Weert, J. C. M. (2013) · Patient Education and Counseling · doi:10.1016/j.pec.2013.06.004 · Cited by 76
A comparison of classroom and online asynchronous problem-based learning for students undertaking statistics training as part of a Public Health Masters degree
de Jong, N., Verstegen, D. M. L., Tan, F. E. S., & O’Connor, S. J. (2012) · Advances in Health Sciences Education · doi:10.1007/s10459-012-9368-x · Cited by 76
Promoting active learning in introductory financial accounting through the flipped classroom design
Lento, C. (2016) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-01-2015-0005 · Cited by 76
Fostering positive emotions and history knowledge with location-based augmented reality and tour-guide prompts
Harley, J. M., Lajoie, S. P., Tressel, T., & Jarrell, A. (2018) · Learning and Instruction · doi:10.1016/j.learninstruc.2018.09.001 · Cited by 75
Adaptive multimedia: Using gaze-contingent instructional guidance to provide personalized processing support
Scheiter, K., Schubert, C., Schüler, A., Schmidt, H., Zimmermann, G., Wassermann, B., Krebs, M., & Eder, T. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.05.005 · Cited by 75
New Technologies for Literacy and Adult Education : A Global Perspective
Wagner, D. A., & Kozma, R. (2005) · UNESCO eBooks · Cited by 69
Knowledge and Skills Needed by Instructional Designers in Higher Education
Ritzhaupt, A. D., & Kumar, S. (2015) · Performance Improvement Quarterly · doi:10.1002/piq.21196 · Cited by 107
Fostering learning from instructional video in a second language
Lee, H., & Mayer, R. E. (2018) · Applied Cognitive Psychology · doi:10.1002/acp.3436 · Cited by 80
Self-citation
From Scope to Screen: The Evolution of Histology Education
Chapman, J. A., Lee, L. M. J., & Swailes, N. T. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-47483-6_5 · Cited by 78
An examination of vocabulary learning and retention levels of pre-school children using augmented reality technology in English language learning
Yılmaz, R. M., Topu, F. B., & Tulgar, A. T. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10916-w · Cited by 86
Tacit guidance for collaborative multimedia learning
Bodemer, D. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.05.016 · Cited by 85
Flow, social interaction anxiety and salivary cortisol responses in serious games: A quasi-experimental study
Brom, C., Buchtová, M., Šisler, V., Děchtěrenko, F., Palme, R., & Glenk, L. M. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.07.001 · Cited by 79
Multisite Randomized Controlled Trial Examining Intelligent Tutoring of Structure Strategy for Fifth-Grade Readers
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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)
DOI: 10.1017/9781316941355
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
Licence: www.cambridge.org/core/terms (unspecified)
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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