RESEARCH PAPER
An Efficient Approach to Slicing Learning Video to Improve Learning Effectiveness by Considering Learner Prior Knowledge
,
 
 
 
More details
Hide details
1
National University of Tainan, Tainan, TAIWAN
 
 
Online publication date: 2018-03-16
 
 
Publication date: 2018-03-16
 
 
EURASIA J. Math., Sci Tech. Ed 2018;14(6):2221-2232
 
KEYWORDS
ABSTRACT
Video has become a popular tool in today’s instructional environment, which also imposes additional cognition load for learners, thereby sabotaging their learning performance. To address this problem, researchers have attempted to slice video into smaller segments, known as the “segmentation effect,” so as to reduce learners’ cognition load. Therefore, this paper proffers appropriate strategies with which to slice a learning video aimed at learners with different levels of prior knowledge. This is expected to reduce the cognition load of learners of differing levels, ultimately increasing their learning efficiency. This study chose its research subjects from a primary school in the southern part of Taiwan. A random sampling was conducted to create three classes for this experiment, one class with 32 students as the control group, whereas the other two classes all with 34 students as experimental group 1 and experimental group 2, respectively. Research results indicate that whether a learner is endowed with high-level, intermediate-level, or low-level prior knowledge, all participants in the experimental group outperformed their counterparts in the control group. The results cannot be inferred to other grades of students. In the future, this research will also be extended to other courses or disciplines.
 
REFERENCES (32)
1.
Ausubel, D. P., Novak, J. D., & Hanesian, H. (1968). Educational psychology: A cognitive view. New York: Holt, Rinehart and Winston.
 
2.
Blayney, P., Kalyuga, S., & Sweller, J. (2016). The impact of complexity on the expertise reversal effect: experimental evidence from testing accounting students. Educational Psychology, 36(10), 1868-1885. https://doi.org/10.1080/014434....
 
3.
Bloom, B. S., (Ed.). (1956). Taxonomy of educational objectives: The classification of educational goals: Handbook I, cognitive domain. New York: Longman.
 
4.
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. https://doi.org/10.1016/j.chb.....
 
5.
Carpenter, S. K., Lund, T. J., Coffman, C. R., Armstrong, P. I., Lamm, M. H., & Reason, R. D. (2016). A classroom study on the relationship between student achievement and retrieval-enhanced learning. Educational Psychology Review, 28(2), 353-375. https://doi.org/10.1007/s10648....
 
6.
Chen, O., Kalyuga, S., & Sweller, J. (2017). The expertise reversal effect is a variant of the more general element interactivity effect. Educational Psychology Review, 29(2), 393-405. https://doi.org/10.1007/s10648....
 
7.
Dankbaar, M. E., Alsma, J., Jansen, E. E., van Merrienboer, J. J., van Saase, J. L., & Schuit, S. C. (2016). An experimental study on the effects of a simulation game on students’ clinical cognitive skills and motivation. Advances in Health Sciences Education, 21(3), 505-521. https://doi.org/10.1007/s10459....
 
8.
Ertelt, A., Renkl, A., & Spada, H. (2006). Making a difference: exploiting the full potential of instructionally designed on-screen videos. In Proceedings of the 7th International Conference on Learning Sciences, 154-160.
 
9.
Han, J., Kamber, M., & Pei, J. (2011). Data mining: concepts and techniques (3rd ed.). Burlington, Massachusetts, USA: Morgan Kaufmann.
 
10.
Hasler, B. S., Kersten, B., & Sweller, J. (2007). Learner control, cognitive load and instructional animation. Applied cognitive psychology, 21(6), 713-729. https://doi.org/10.1002/acp.13....
 
11.
Hilbert, T. S., & Renkl, A. (2009). Learning how to use a computer-based concept-mapping tool: Self-explaining examples helps. Computers in Human Behavior, 25(2), 267-274. https://doi.org/10.1016/j.chb.....
 
12.
Kalyuga, S. (2005). Effects of prior knowledge on multimedia learning: Does expertise reverse and how to manage it? In EdMedia: World Conference on Educational Media and Technology, 2005(1), 3164-3171.
 
13.
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19(4), 509-539. https://doi.org/10.1007/s10648....
 
14.
Kalyuga, S. (2008). Relative effectiveness of animated and static diagrams: An effect of learner prior knowledge. Computers in Human Behavior, 24(3), 852-861. https://doi.org/10.1016/j.chb.....
 
15.
Kalyuga, S., & Sweller, J. (2004). Measuring knowledge to optimize cognitive load factors during instruction. Journal of Educational Psychology, 96(3), 558-568. https://doi.org/10.1037/0022-0....
 
16.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38(1), 23-31. https://doi.org/10.1207/S15326....
 
17.
Leahy, W., & Sweller, J. (2005). Interactions among the imagination, expertise reversal, and element interactivity effects. Journal of Experimental Psychology: Applied, 11(4), 266. https://doi.org/10.1037/1076-8....
 
18.
Liu, P. L., Chen, C.J., & Chang, Y.J. (2010). Effects of a computer-assisted concept mapping learning strategy on EFL college students’ English reading comprehension. Computers & Education, 54(2), 436-445. https://doi.org/10.1016/j.comp....
 
19.
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions? Educational psychologist, 32(1), 1-19. https://doi.org/10.1207/s15326....
 
20.
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. https://doi.org/10.1037/0022-0....
 
21.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38(1), 43-52. https://doi.org/10.1207/S15326....
 
22.
Novak, J. D. (1990). Concept maps and Vee diagrams: Two metacognitive tools to facilitate meaningful learning. Instructional science, 19(1), 29-52. https://doi.org/10.1007/BF0037....
 
23.
Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/CBO978....
 
24.
Paivio, A. (1986). Mental representations: A dual coding approach: New York, USA: Oxford University Press.
 
25.
Reisslein, J., Atkinson, R.K., Seeling, P., & Reisslein, M. (2006). Encountering the expertise reversal effect with a computer-based environment on electrical circuit analysis. Learning and Instruction, 16(2), 92-103. https://doi.org/10.1016/j.lear....
 
26.
Rey, G. D., & Buchwald, F. (2011). The expertise reversal effect: Cognitive load and motivational explanations. Journal of Experimental Psychology: Applied, 17(1), 33. https://doi.org/10.1037/a00222....
 
27.
Scheiter, K., Fillisch, B., Krebs, M. C., Leber, J., Ploetzner, R., Renkl, A., & Zimmermann, G. (2017). How to Design Adaptive Information Environments to Support Self-Regulated Learning with Multimedia. In Informational Environments (pp. 203-223). Springer, Cham. https://doi.org/10.1007/978-3-....
 
28.
Soellner, R., Lenartz, N., & Rudinger, G. (2017). Concept mapping as an approach for expert-guided model building: The example of health literacy. Evaluation and Program Planning, 60, 245-253. https://doi.org/10.1016/j.eval....
 
29.
Spanjers, I. A. E., Van Gog, T., & van Merriënboer, J. J. G. (2010). A theoretical analysis of how segmentation of dynamic visualizations optimizes students’ learning. Educational Psychology Review, 22(4), 411-423. https://doi.org/10.1007/s10648....
 
30.
Spanjers, I. A. E., van Gog, T., Wouters, P., & van Merriënboer, J. J. G. (2012). Explaining the segmentation effect in learning from animations: The role of pausing and temporal cueing. Computers & Education, 59(2), 274-280. https://doi.org/10.1016/j.comp....
 
31.
Spanjers, I. A. E., Wouters, P., Van Gog, T., & Van Merriënboer, J. J. G. (2011). An expertise reversal effect of segmentation in learning from animated worked-out examples. Computers in Human Behavior, 27(1), 46-52. https://doi.org/10.1016/j.chb.....
 
32.
Xiaojun, L. (2017). An improved clustering-based collaborative filtering recommendation algorithm. Cluster Computing, 1-8. https://doi.org/10.1007/s10586....
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top