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41 - Multimedia Learning with Instructional Video

from Part VIII - Multimedia Learning with Media

Published online by Cambridge University Press:  19 November 2021

By
Logan Fiorella
Edited by
Richard E. Mayer  and
Logan Fiorella
Richard E. Mayer
Affiliation:
University of California, Santa Barbara
Logan Fiorella
Affiliation:
University of Georgia
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Summary

Video is one of the most popular ways to deliver instruction, yet researchers are only beginning to understand how to design effective video lessons. This chapter explores: (a) how to present the learning material (multimedia design), (b) how to present the instructor (instructor presence), and (c) how to foster student engagement (generative activity). The empirical evidence suggests videos are most effective when they adhere to basic multimedia design principles (e.g., coherence, redundancy, or segmenting), when they are sensitive to the benefits and boundaries of specific instructor presence features (e.g., the instructor’s face, eyes, and hands), and when they explicitly prompt learners to retrieve and make sense of the learning material (e.g., practice testing or self-explaining). Future research is needed to specify boundary conditions and apply video design principles to more authentic educational contexts.

Keywords

instructional videovideo lessonsmultimedia designinstructor presencegenerative activitiesdrawing
Type
Chapter
Information
The Cambridge Handbook of Multimedia Learning , pp. 487 - 497
Publisher: Cambridge University Press
Print publication year: 2021

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References

Ainsworth, S., & Loizou, A. (2003). The effects of self‐explaining when learning with text or diagrams. Cognitive Science, 27(4), 669–681.Google Scholar
Atkinson, R. K., Mayer, R. E., & Merrill, M. M. (2005). Fostering social agency in multimedia learning: Examining the impact of an animated agent’s voice. Contemporary Educational Psychology, 30, 117–139.CrossRefGoogle Scholar
Beege, M., Schneider, S., Nebel, S., & Rey, G. D. (2017). Look into my eyes! Exploring the effect of addressing in educational videos. Learning and Instruction, 49, 113–120.Google Scholar
Betrancourt, M., & Benetos, K. (2018). Why and when does instructional video facilitate learning? A commentary to the special issue “Developments and trends in learning with instructional video.” Computers in Human Behavior, 89, 471–475.CrossRefGoogle Scholar
Biard, N., Cojean, S., & Jamet, E. (2018). Effects of segmentation and pacing on procedural learning by video. Computers in Human Behavior, 89, 411–417.CrossRefGoogle Scholar
Bjork, E. L., & Bjork, R. A. (2011). Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In Gernsbacher, M. A., Pew, R. W., Hough, L. M., & Pomerantz, J. R. (eds.) & FABBS Foundation, Psychology and the Real World: Essays Illustrating Fundamental Contributions to Society (pp. 56–64). New York: Worth Publishers.Google Scholar
Bonk, C. J., Lee, M. M., Reeves, T. C., & Reynolds, T. H. (2015). MOOCs and Open Education around the World. New York: Routledge.CrossRefGoogle Scholar
Boucheix, J. M., Gauthier, P., Fontaine, J. B., & Jaffeux, S. (2018). Mixed camera viewpoints improve learning medical hand procedure from video in nurse training? Computers in Human Behavior, 89, 418–429.Google Scholar
Breslow, L., Pritchard, D. E., DeBoer, J., Stump, G. S., Ho, A. D., & Seaton, D. T. (2013). Studying learning in the worldwide classroom: Research into EdX’s first MOOC. Research and Practice in Assessment, 8, 13–25.Google Scholar
Carpenter, S. K., & Toftness, A. R. (2017). The effect of prequestions on learning from video presentations. Journal of Applied Research in Memory and Cognition, 6(1), 104–109.Google Scholar
Colliot, T., & Jamet, E. (2018). Understanding the effects of a teacher video on learning from a multimedia document: An eye-tracking study. Educational Technology Research and Development, 66(6), 1415–1433.CrossRefGoogle Scholar
Cuban, L. (1986). Teachers and Machines: The Classroom Use of Technology since 1920. New York: Teachers College Press.Google Scholar
de Koning, B. B., Hoogerheide, V., & Boucheix, J.-M. (2018). Developments and trends in learning with instructional videos. Computers in Human Behavior, 89, 395–398.Google Scholar
DeLozier, S. J., & Rhodes, M. G. (2017). Flipped classrooms: A review of key ideas and recommendations for practice. Educational Psychology Review, 29(1), 141–151.Google Scholar
Fiorella, L. (2020). The science of habit and its implications for student learning and well-being. Educational Psychology Review, 32, 603–625.Google Scholar
Fiorella, L., & Mayer, R. E. (2015). Learning As a Generative Activity. New York: Cambridge University Press.Google Scholar
Fiorella, L., & Mayer, R. E. (2016a). Eight ways to promote generative learning. Educational Psychology Review, 28(4), 717–741.CrossRefGoogle Scholar
Fiorella, L., & Mayer, R. E. (2016b). Effects of observing the instructor draw diagrams on learning from multimedia messages. Journal of Educational Psychology, 108(4), 528–546.Google Scholar
Fiorella, L., & Mayer, R. E. (2017). Spontaneous spatial strategy use in learning from scientific text. Contemporary Educational Psychology, 49, 66–79.CrossRefGoogle Scholar
Fiorella, L., & Mayer, R. E. (2018). What works and doesn’t work with instructional video. Computers in Human Behavior, 89, 465–470.CrossRefGoogle Scholar
Fiorella, L., & Zhang, Q. (2018). Drawing boundary conditions for learning by drawing. Educational Psychology Review, 30, 1115–1137.CrossRefGoogle Scholar
Fiorella, L., Stull, A. T., Kuhlmann, S., & Mayer, R. E. (2019). Instructor presence in video lectures: The role of dynamic drawings, eye contact, and instructor visibility. Journal of Educational Psychology, 111(7), 1162–1171.CrossRefGoogle Scholar
Fiorella, L., Stull, A. T., Kuhlmann, S., & Mayer, R. E. (2020). Fostering generative learning from video lessons: Benefits of instructor-generated drawings and learner-generated explanations. Journal of Educational Psychology, 112(5), 895–906.CrossRefGoogle Scholar
Fiorella, L., van Gog, T., Hoogerheide, V., & Mayer, R. E. (2017). It’s all a matter of perspective: Viewing first-person video modeling examples promotes learning of an assembly task. Journal of Educational Psychology, 109, 653–665.Google Scholar
Fries, L., DeCaro, M. S., & Ramirez, G. (2019). The lure of seductive details during lecture learning. Journal of Educational Psychology, 111(4), 736–749.Google Scholar
Garland, T. B., & Sanchez, C. A. (2013). Rotational perspective and learning procedural tasks from dynamic media. Computers & Education, 69, 31–37.CrossRefGoogle Scholar
Gorissen, P., van Bruggen, J., & Jochems, W. (2012). Students and recorded lectures: Survey on current use and demands for higher education. Research in Learning Technology, 20, 297–311.Google Scholar
Hasler, B. S., Kersten, B., & Sweller, J. (2007). Learner control, cognitive load and instructional animation. Applied Cognitive Psychology, 21(6), 713–729.CrossRefGoogle Scholar
Homer, B. D., Plass, J. L., & Blake, L. (2008). The effects of video on cognitive load and social presence in multimedia-learning. Computers in Human Behavior, 24(3), 786–797.Google Scholar
Hoogerheide, V., Loyens, S. M., & van Gog, T. (2016). Learning from video modeling examples: Does gender matter? Instructional Science, 44(1), 69–86.CrossRefGoogle Scholar
Hoogerheide, V., van Wermeskerken, M., Loyens, S. M., & van Gog, T. (2016). Learning from video modeling examples: Content kept equal, adults are more effective models than peers. Learning and Instruction, 44, 22–30.Google Scholar
Hoogerheide, V., van Wermeskerken, M., van Nassau, H., & van Gog, T. (2018). Model-observer similarity and task-appropriateness in learning from video modeling examples: Do model and student gender affect test performance, self-efficacy, and perceived competence? Computers in Human Behavior, 89, 457–464.CrossRefGoogle Scholar
Jing, H. G., Szpunar, K. K., & Schacter, D. L. (2016). Interpolated testing influences focused attention and improves integration of information during a video-recorded lecture. Journal of Experimental Psychology: Applied, 22(3), 305.Google Scholar
Kane, M. J., Smeekens, B. A., von Bastian, C. C., Lurquin, J. H., Carruth, N. P., & Miyake, A. (2017). A combined experimental and individual-differences investigation into mind wandering during a video lecture. Journal of Experimental Psychology: General, 146(11), 1649–1674.Google Scholar
Kapur, M. (2016). Examining productive failure, productive success, unproductive failure, and unproductive success in learning. Educational Psychologist, 51(2), 289–299.CrossRefGoogle Scholar
Karpicke, J. D. (2012). Retrieval-based learning: Active retrieval promotes meaningful learning. Current Directions in Psychological Science, 21(3), 157–163.CrossRefGoogle Scholar
Karpicke, J. D., Butler, A. C., & Roediger, H. L. III (2009). Metacognitive strategies in student learning: Do students practise retrieval when they study on their own? Memory, 17(4), 471–479.CrossRefGoogle Scholar
Kay, R. H. (2012). Exploring the use of video podcasts in education: A comprehensive review of the literature. Computers in Human Behavior, 28, 820–831.Google Scholar
Kizilcec, R. F., Bailenson, J. N., & Gomez, C. J. (2015). The instructor’s face in video instruction: Evidence from two large-scale field studies. Journal of Educational Psychology, 107(3), 724–739.Google Scholar
Lee, H., & Mayer, R. E. (2018). Fostering learning from instructional video in a second language. Applied Cognitive Psychology, 32, 648–654.Google Scholar
Lindgren, R. (2012). Generating a learning stance through perspective-taking in a virtual environment. Computers in Human Behavior, 28(4), 1130–1139.CrossRefGoogle Scholar
Loh, K. K., Tan, B. Z. H., & Lim, S. W. H. (2016). Media multitasking predicts video-recorded lecture learning performance through mind wandering tendencies. Computers in Human Behavior, 63, 943–947.CrossRefGoogle Scholar
Mayer, R. E., & Chandler, P. (2001). When learning is just a click away: Does simple user interaction foster deeper understanding of multimedia messages? Journal of Educational Psychology, 93(2), 390–397.Google Scholar
Mayer, R. E., Fiorella, L., & Stull, A. (2020). Five ways to increase the effectiveness of instructional video. Educational Technology Research & Development, 68(3), 837–852.Google Scholar
Mayer, R. E., Heiser, J., & Lonn, S. (2001). Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology, 93(1), 187–198.Google Scholar
Merkt, M., Weigand, S., Heier, A., & Schwan, S. (2011). Learning with videos vs. learning with print: The role of interactive features. Learning and Instruction, 21(6), 687–704.Google Scholar
Moreno, R. (2007). Optimising learning from animations by minimizing cognitive load: Cognitive and affective consequences of signaling and segmentation methods. Applied Cognitive Psychology, 21(6), 765–781.Google Scholar
O’Callagan, F. V., Neumann, D. L., Jones, L., & Creed, P. A. (2017). The use of lecture recordings in higher education: A review of institutional, student, and lecturer issues. Education and Information Technologies, 22, 399–415.Google Scholar
Ouwehand, K., van Gog, T., & Paas, F. (2015a). Designing effective video-based modeling examples using gaze and gesture cues. Educational Technology & Society (online), 18, 78–88.Google Scholar
Ouwehand, K., van Gog, T., & Paas, F. (2015b). Effects of gestures on older adults’ learning from video‐based models. Applied Cognitive Psychology, 29(1), 115–128.Google Scholar
Ozogul, G., Johnson, A., Atkinson, R. K., & Reisslein, M. (2013). Investigating the impact of pedagogical agent gender matching and learner choice on learning outcomes and perceptions. Computers & Education, 67, 36–50.Google Scholar
Pi, Z., Hong, J., & Yang, J. (2017). Effects of the instructor’s pointing gestures on learning performance in video lectures. British Journal of Educational Technology, 48(4), 1020–1029.Google Scholar
Pi, Z., Zhang, Y., Zhu, F., Xu, K., Yang, J., & Hu, W. (2019). Instructors’ pointing gestures improve learning regardless of their use of directed gaze in video lectures. Computers & Education, 128, 345–352.Google Scholar
Renkl, A. (1997). Learning from worked-out examples: A study on individual differences. Cognitive Science, 21(1), 1–29.Google Scholar
Rey, G. D. (2012). A review of research and a meta-analysis of the seductive detail effect. Educational Research Review, 7(3), 216–237.Google Scholar
Roediger, H. L. III, & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255.Google Scholar
Schroeder, N. L., & Traxler, A. L. (2017). Humanizing instructional videos in physics: When less is more. Journal of Science Education and Technology, 26(3), 269–278.Google Scholar
Schunk, D. H., & Hanson, A. R. (1985). Peer models: Influence on children’s self-efficacy and achievement. Journal of Educational Psychology, 77, 313–322.Google Scholar
Schwartz, D. L., Chase, C. C., Oppezzo, M. A., & Chin, D. B. (2011). Practicing versus inventing with contrasting cases: The effects of telling first on learning and transfer. Journal of Educational Psychology, 103(4), 759–775.Google Scholar
Shen, B., McCaughtry, N., Martin, J., & Dillion, S. (2006). Does “sneaky fox” facilitate learning? Examining the effects of seductive details in physical education. Research Quarterly for Exercise and Sport, 77(4), 498–506.Google Scholar
Spanjers, I. E. A., van Gog, T., Wouters, P., & van Merrienboer, J. J. G. (2012). Explaining the segmentation effect in learning form animations: The role of pausing and temporal cueing. Computers & Education, 59(2), 274–280.Google Scholar
Spanjers, I. E. A., Wouters, P., van Gog, T., & van Merrienboer, J. J. G. (2011). An expertise reversal effect for segmentation in learning from animated worked-out examples. Computers in Human Behavior, 27(1), 46–52.Google Scholar
Stull, A. T., Fiorella, L., Gainer, M. J., & Mayer, R. E. (2018). Using transparent whiteboards to boost learning from online STEM lectures. Computers & Education, 120, 146–159.Google Scholar
Stull, A. T., Fiorella, L., & Mayer, R. E. (2018). An eye-tracking analysis of instructor presence in video lectures. Computers in Human Behavior, 88, 263–272.Google Scholar
Sundararajan, N., & Adesope, O. (2020). Keep it coherent: A meta-analysis of the seductive details effect. Educational Psychology Review, 32, 707–734.CrossRefGoogle Scholar
Szpunar, K. K., Jing, H. G., & Schacter, D. L. (2014). Overcoming overconfidence in learning from video-recorded lectures: Implications of interpolated testing for online education. Journal of Applied Research in Memory and Cognition, 3(3), 161–164.CrossRefGoogle Scholar
Szpunar, K. K., Khan, N. Y., & Schacter, D. L. (2013). Interpolated memory tests reduce mind wandering and improve learning of online lectures. Proceedings of the National Academy of Sciences, 110(16), 6313–6317.Google Scholar
Toftness, A. R., Carpenter, S. K., Lauber, S., & Mickes, L. (2018). The limited effects of prequestions on learning from authentic lecture videos. Journal of Applied Research in Memory and Cognition, 7(3), 370–378.Google Scholar
Türkay, S. (2016). The effects of whiteboard animations on retention and subjective experiences when learning advanced physics topics. Computers & Education, 98, 102–114.Google Scholar
van Gog, T., Verveer, I., & Verveer, L. (2014). Learning from video modeling examples: Effects of seeing the human model’s face. Computers & Education, 72, 323–327.CrossRefGoogle Scholar
van Wermeskerken, M., Grimmius, B., & van Gog, T. (2018). Attention to the model’s face when learning from video modeling examples in adolescents with and without autism spectrum disorder. Journal of Computer Assisted Learning, 34(1), 32–41.CrossRefGoogle Scholar
van Wermeskerken, M., Ravensbergen, S., & van Gog, T. (2018). Effects of instructor presence in video modeling examples on attention and learning. Computers in Human Behavior, 89, 430–438.Google Scholar
van Wermeskerken, M., & van Gog, T. (2017). Seeing the instructor’s face and gaze in demonstration video examples affects attention allocation but not learning. Computers & Education, 113, 98–107.Google Scholar
Wammes, J. D., & Smilek, D. (2017). Examining the influence of lecture format on degree of mind wandering. Journal of Applied Research in Memory and Cognition, 6(2), 174–184.Google Scholar
Wang, H., Pi, Z., & Hu, W. (2019). The instructor’s gaze guidance in video lectures improves learning. Journal of Computer Assisted Learning, 35(1), 42–50.Google Scholar
Wang, J., & Antonenko, P. D. (2017). Instructor presence in instructional video: Effects on visual attention, recall, and perceived learning. Computers in Human Behavior, 71, 79–89.CrossRefGoogle Scholar
Wittrock, M. C. (1989). Generative processes of comprehension. Educational Psychologist, 24(4), 345–376.Google Scholar
Wong, A., Leahy, W., Marcus, N., & Sweller, J. (2012). Cognitive load theory, the transient information effect and e-learning. Learning and Instruction, 22(6), 449–457.CrossRefGoogle Scholar
Yong, P. Z., & Lim, S. W. H. (2016). Observing the testing effect using Coursera video-recorded lectures: A preliminary study. Frontiers in Psychology, 6, 2064.CrossRefGoogle ScholarPubMed
Yue, C. L., Bjork, E. L., & Bjork, R. A. (2013). Reducing verbal redundancy in multimedia learning: An undesired desirable difficulty? Journal of Educational Psychology, 105(2), 266–277.Google Scholar

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