Psychological Development and Education ›› 2022, Vol. 38 ›› Issue (4): 600-608.doi: 10.16187/j.cnki.issn1001-4918.2022.04.17

Previous Articles    

Does Segmentation Facilitate Video Learning?

WANG Yanqing, YANG Xiaomeng, ZHAO Tingting, GAO Chunying, ZHANG Yang, ZHAO Qingbai, WANG Fuxing, HU Xiang'en   

  1. School of Psychology, Central China Normal University, Wuhan 430079
  • Published:2022-07-13

Abstract: Recently, videos (animations, educational videos) are increasingly used in instructional materials and computer-based learning. A number of methods have been proposed to improve the effectiveness of video learning. One of them is segmentation, which involves showing animations or learning materials in time segmented pieces. Previous studies have examined the role of segmentation in learning through two kinds of manipulation. On the one hand, the segmentation was controlled by the learners or the system. On the other hand, the dynamic visualization was divided into smaller units of information at meaningless or meaningful time points. However, it remained unclear about the effects of segmentation. In this article, we reviewed studies regarding segmentation of video on learning outcomes and subjective perceptions. It was found that the segmentation was conducive to learning, and reduced perceived difficulty. Moreover, students expressed positive affective about the segmented learning style. The event segmentation theory and cognitive load theory have been used as theoretical foundations for predicting or explaining the positive effects of segmentation. In future research, we should continue to explore the segmentation from the perspectives of the boundary conditions, active pauses, the cognitive neural basis, and so on.

Key words: segmentation, video learning, learning outcomes, event segmentation theory, cognitive load theory

CLC Number: 

  • B844
Alemdag, E., & Cagiltay, K. (2018).A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413-428.
Ali, A. Z. M. (2013). Effects of segmented-animation in projected presentation condition.Journal of Educational Technology & Society, 16(3), 234-245.
Ali, A. Z. M., & Hassan, A. (2019).Segmented animation, user-control strategy and cognition. International Journal of Human-Computer Interaction, 35(12), 1125-1134.
Ayres, P., & Paas, F. (2007). Making instructional animations more effective:A cognitive load approach.Applied Cognitive Psychology, 21(6), 695-700.
Barrouillet, P., & Camos, V. (2007). The time-based resource-sharing model of working memory. In N. Osaka, R. H. Logie, & D. E. Mark (Eds.),The cognitive neuroscience of working memory (pp. 57-80). Oxford:Oxford University Press.
Bernay, S., & Betrancourt, M. (2016).Does animation enhance learning? A meta-analysis. Computers & Education, 101, 150-167.
Biard, N., Cojean, S., & Jamet, E. (2018). Effects of segmentation and pacing on procedural learning by video. Computers in Human Behavior, 89, 411-417.
Boucheix, J. M., & Forestier, C. (2017).Reducing the transience effect of animations does not (always) lead to better performance in children learning a complex hand procedure. Computers in Human Behavior, 69, 358-370.
Boucheix, J. M., & Guignard, H. (2005). What animated illustrations conditions can improve technical document comprehension in young students? Format, signaling and control of the presentation.European Journal of Psychology of Education, 20(4), 369-388.
Cheon, J., Chung, S., Crooks, S. M., Song, J., & Kim, J. (2014). An investigation of the effects of different types of activities during pauses in a segmented instructional animation.Journal of Educational Technology & Society, 17(2), 296-306.
Cheon, J., Crooks, S., & Chung, S. (2014). Does segmenting principle counteract modality principle in instructional animation?British Journal of Educational Technology, 45(1), 56-64.
Doolittle, P., E., Bryant, L., H., & Chittum, J., R. (2015). Effects of degree of segmentation and learner disposition on multimedia learning. British Journal of Educational Technology, 46(6), 1333-1343.
Fiorella, L., & Mayer, R. E. (2015).Learning as a generative activity. Cambridge University Press.
Florax, M., & Ploetzner, R. (2010).What contributes to the split-attention effect? The role of text segmentation, picture labelling, and spatial proximity. Learning and Instruction, 20(3), 216-224.
Hasler, B. S., Kersten, B., & Sweller, J. (2007). Learner control, cognitive load and instructional animation. Applied Cognitive Psychology, 21(6), 713-729.
Hassanabadi, H., Robatjazi, E. S., & Savoji, A. P. (2011).Cognitive consequences of segmentation and modality methods in learning from instructional animations. Procedia-Social and Behavioral Sciences, 30, 1481-1487.
Hoogerheide, V., Renkl, A., Fiorella, L., Paas, F., & van Gog, T. (2019). Enhancing example-based learning:Teaching on video increases arousal and improves problem-solving performance. Journal of Educational Psychology, 111(1), 45-56.
Höffler, T. N., & Leutner, D. (2007). Instructional animation versus static pictures:A meta-analysis.Learning and Instruction, 17(6), 722-738.
Höffler, T. N., & Schwartz, R. N. (2011). Effects of pacing and cognitive style across dynamic and non-dynamic representations. Computers & Education, 57(2), 1716-1726.
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction.Educational Psychology Review, 19(4), 509-539.
Kay, R. H. (2012). Exploring the use of video podcasts in education:A comprehensive review of the literature.Computers in Human Behavior, 28(3), 820-831.
Khacharem, A., Spanjers, I. A., Zoudji, B., Kalyuga, S., & Ripoll, H. (2013).Using segmentation to support the learning from animated soccer scenes:An effect of prior knowledge. Psychology of Sport and Exercise, 14(2), 154-160.
Kirschner, P., Ayres, P., & Chandler, P. (2011).Contemporary cognitive load theory:The good, bad and the ugly. Computers in Human Behavior, 27, 99-105.
Kurby, C. A., & Zacks, J. M. (2008). Segmentation in the perception and memory of events.Trends in Cognitive Sciences, 12(2), 72-79.
Lin, L., & Li, M. (2018).Optimizing learning from animation:Examining the impact of biofeedback. Learning and Instruction, 55, 32-40.
Lusk, D. L., Evans, A. D., Jeffrey, T. R., Palmer, K. R., Wikstrom, C. S., & Doolittle, P. E. (2009). Multimedia learning and individual differences:Mediating the effects of working memory capacity with segmentation. British Journal of Educational Technology, 40(4), 636-651.
Mayer, R. E. (2001).Multimedia learning. New York:Cambridge University Press.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York:Cambridge University Press.
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.
Mayer, R. E., Dow, G. T., & Mayer, S. (2003).Multimedia learning in an interactive self-explaining environment:What works in the design of agent-based microworlds? Journal of Education Psychology, 95, 806-812.
Mayer, R. E., & Pilegard, C. (2014). Principles for managing essential processing in multimedia learning:Segmenting, pre-training, and modality principles. In R. E. Mayer (Ed.), Cambridge handbook of multimedia learning (pp. 316-344). New York:Cambridge University.
Merkt, M., Ballmann, A., Felfeli, J., & Schwan, S. (2018). Pauses in educational videos:Testing the transience explanation against the structuring explanation.Computers in Human Behavior, 89, 399-410.
Moreno, R. (2007). Optimising learning from animations by minimising cognitive load:Cognitive and affective consequences of signaling and segmentation methods. Applied Cognitive Psychology, 21(6), 765-781.
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design:Recent developments.Educational Psychologist, 38(1), 1-4.
Pettijohn, K. A., Thompson, A. N., Tamplin, A. K., Krawietz, S. A., & Radvansky, G. A. (2016). Event boundaries and memory improvement. Cognition, 148, 136-144.
Rey, G. D., Beege, M., Nebel, S., Wirzberger, M., Schmitt, T. H., & Schneider, S. (2019). A meta-analysis of the segmenting effect.Educational Psychology Review, 31(2), 389-419.
Schwan, S., & Riempp, R. (2004). The cognitive benefits of interactive videos:Learning to tie nautical knots. Learning and Instruction, 14(3), 293-305.
Singh, A. M., Marcus, N., & Ayres, P. (2012). The transient information effect:Investigating the impact of segmentation on spoken and written text. Applied Cognitive Psychology, 26(6), 848-853.
Spanjers, I. A.,van Gog, T., & van Merriënboer, J. J. (2010). A theoretical analysis of how segmentation of dynamic visualizations optimizes students' learning. Educational Psychology Review, 22(4), 411-423.
Spanjers, I. A.,van Gog, T., & van Merrienboer, J. J. (2011). Segmentation of worked examples:Effects on cognitive load and learning. Applied Cognitive Psychology, 26(3), 352-358.
Spanjers, I. A., van Gog, T., Wouters, P., & van Merriënboer, J. J. (2012). Explaining the segmentation effect in learning from animations:The role of pausing and temporal cueing. Computers & Education, 59(2), 274-280.
Spanjers, I. A., Wouters, P.,van Gog, T., & van Merrienboer, J. J. (2011). An expertise reversal effect of segmentation in learning from animated worked-out examples. Computers in Human Behavior, 27(1), 46-52.
Stiller, K. D., Freitag, A., Zinnbauer, P., & Freitag, C. (2009). How pacing of multimedia instructions can influence modality effects:A case of superiority of visual texts. Australasian Journal of Educational Technology, 25(2), 184-203.
Swallow, K. M., & Zacks, J. M. (2004). Hierarchical grouping of events revealed by eye movements. Poster presented at 45th annual Meeting of the Psychonomic Society, Minneapolis, MN.
Sweller, J. (2010). Element interactivity and intrinsic, extraneous, and germane cognitive load.Educational Psychology Review, 22(2), 123-138.
Sweller, J., Ayres, P., & Kalyuga, S. (2011).Cognitive load theory. New York:Springer.
van Gog, T., & Scheiter, K. (2010). Eye tracking as a tool to study and enhance multimedia learning. Learning and Instruction, 20(2), 95-99.
Zacks, J. M., Braver, T. S., Sheridan, M. A., Donaldson, D. I., Snyder, A. Z., Ollinger, J. M., … Raichle, M. E. (2001). Human brain activity time-locked to perceptual event boundaries. Nature Neuroscience, 4(6), 651-655.
Zacks, J. M., Speer, N. K., Swallow, K. M., Braver, T. S., & Reynolds, J. R. (2007). Event perception:A mind-brain perspective.Psychological Bulletin, 133, 273-293.
Zacks, J. M., Speer, N. K., Vettel, J. M., & Jacoby, L. L. (2006).Event understanding and memory in healthy aging and dementia of the Alzheimer type. Psychology and Aging, 21(3), 466-482.
钱莹莹, 王福兴, 段朝辉, 周宗奎. (2016). 动画速度和学习者经验对多媒体学习的影响. 心理发展与教育, 32(2), 191-197.
张冬梅, 路海东, 祖雅桐. (2016). 认知负荷视角下的知识反转效应. 心理科学进展, 24(4), 501-509.
谢和平, 王福兴, 王玉鑫, 安靖. (2016). 越难读意味着学得越好?学习过程中的不流畅效应.心理科学进展, 24(7), 1077-1090.
[1] BAI Xuejun, GUO Zhiying, WANG Yongsheng, GAO Xiaolei, YAN Guoli. The Landing Positions of Older and Younger Adults while Reading Spaced Text [J]. Psychological Development and Education, 2015, 31(2): 171-179.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!