Article

Investigating the influence of transitory information and motivation during instructional animations

Authors:

Amina YoussefAuthors Info & Claims

ICLS'08: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 1

Pages 68 - 75

Published: 24 June 2008 Publication History

Abstract

This study investigated the cognitive load theory prediction that the inconsistent findings concerning the effectiveness of instructional animations are exacerbated by their transitory nature. Three groups were compared who received different but equivalent forms of instruction in learning a topic in economics. One group received an animation presentation with integrated text and diagrams, a second group received a static diagram presentation with integrated text and diagrams, and the third group received a static diagram presentation with non-integrated text and diagrams in a classical split-attention design. Results indicated that the animated design was superior to the static integrated design only on test questions that closely resembled the presented information. No other significant group differences were identified. Furthermore a battery of self-rating measures of cognitive load and motivational items indicated that test performance was predicted by motivation and concentration levels, rather than by mental effort or task difficulty.

References

[1]

Ayres, P. (2006). Using subjective measures to detect variations of intrinsic cognitive load within problems. Learning and Instruction, 10, 1-12.

[2]

Ayres, P., Kalyuga, S., Marcus, N., and Sweller, J. (September, 2005). The conditions under which instructional animation may be effective. Paper presented at an International Workshop and Mini-conference, Open University of the Netherlands: Heerlen, The Netherlands.

[3]

Ayres, P. & Paas, F. (2007a). Making instructional animations more effective: A cognitive load approach. Applied Cognitive Psychology, 21, 695-700.

[4]

Ayres, P. & Paas, F. (2007b). Can the Cognitive Load Approach Make Instructional Animations More Effective? Applied Cognitive Psychology, 21, 811-820.

[5]

Ayres, P., & Sweller, P. (2005). The Split-Attention Principle in Multimedia Learning. In R.E. Mayer (ED.), The Cambridge Handbook of Multimedia Learning (pp. 135-146). Cambridge: Cambridge University Press.

[6]

Cierniak, G., Scheiter, K., & Gerjets, P. (2007). Subjective and objective load measures: Subjective load ratings vs. Dual-task methodology. Paper presented at the Cognitive Load Theory Conference, UNSW, Sydney, 24-26 March.

[7]

Chandler, P. & Sweller, J. (1992). The split-attention effect as a factor in the design of instruction. British Journal of Educational Psychology, 62, 233-246.

[8]

Chi, M., Glaser, R., & Rees, E. (1982). Expertise in problem solving. In R. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 7-75) Hillsdale, NJ: Erlbaum.

[9]

De Koning, B. B., Tabbers, H.K., Rikers, R.M.J.P., & Paas, F. (2007). Attention cueing as a means to enhance learning from an animation. Applied Cognitive Psychology, 21, 7731-746.

[10]

Hasler, B. S., Kersten, B., & Sweller, J. (2007). Learner control, cognitive load and instructional animation. Applied Cognitive Psychology, 21, 713-729.

[11]

Höffler, T. N., & Leutner, D. (2007). Instructional animation versus static pictures: A meta-analysis. Learning and Instruction.

[12]

Lowe, R. K. (1999). Extracting infromation from an animation during complex visual learning. European Journal of Psychology of Education, 14, 225-244.

[13]

Lowe, R. K. (2003). Animation and Learning: selective processing of information in dynamic graphics. Learning and Instruction, 13, 157-176.

[14]

Lowe, R. (2004). Interrogation of a dynamic visualization during learning. Learning and Instruction, 14, 257-274.

[15]

Lusk, M. M., & Atkinson, R.K. (2007). Animated pedagogical agents: Does their degree of embodiment impact learning from static or animated worked examples? Applied Cognitive Psychology, 21, 7747-764.

[16]

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, 390-397.

[17]

Mayer, R. E., Hegarty, M., Mayer, S., & Campbell, J. (2005). When Static Media Promote Active Learning: Annotated Illustrations Versus Narrated Animations in Multimedia Instruction. Journal of Experimental Psychology: Applied 11, 256-265.

[18]

Miller, G. A. (1956). The Magical Number Seven, Plus or Minus Two: Some Limits on our Capacity for Processing Information. Psychological Review, 63, 81-97.

[19]

Moreno, R. (2007). Optimizing learning from animations by minimizing cognitive load: Cognitive and affective consequences of signaling and segmentation methods. Applied Cognitive Psychology, 21, 765-781.

[20]

Paas, F. (1992). Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84, 429-434.

[21]

Paas, F., Tuovinen, J., Van Merriënboer, J. J. G., & Darabi, A. (2005). A motivational perspective on the relation between mental effort and performance: optimizing learner involvement in instruction. Educational Technology Research and Development, 53(3), 25-34.

[22]

Peterson, L., & Peterson, M. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58, 193-198.

[23]

Scheiter, K., Gerjets, P., & Opfermann, M. (2007). Online measurement of different types of cognitive load with an adjusted version of NASA-TLX. Paper presented at the Cognitive Load Theory Conference, UNSW, Sydney, 24-26 March.

[24]

Sweller, J. (1999). Instructional Design. Camberwell, Victoria, ACER Press.

[25]

Sweller, J. (1994). Cognitive load theory, learning difficulty and instructional design. Learning and Instruction, 4, 295-312.

[26]

Sweller, J. (2003). Evolution of human cognitive architecture. In B. Ross (Ed.), The Psychology of Learning and Motivation, Vol. 43 (pp. 215-266). San Diego: Academic Press.

[27]

Sweller, J. (2004). Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional Science, 32, 9-31.

[28]

Sweller, J., & Chandler, P. (1994). Why Some Material Is Difficult to Learn. Cognition & Instruction, 12, 185.

[29]

Sweller, J., & Chandler, P. (1991). Evidence for Cognitive Load Theory. Cognition & Instruction, 8, 351.

[30]

Sweller, J., van Merriënboer, J. J. G., & Paas, F. (1998). Cognitive Architecture and Instructional Design. Educational Psychology Review, 10, 251-296.

[31]

Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human-Computer Studies, 57, 247-262.

Digital Library

[32]

Van Gog, T., & Paas, F. (2008). Instructional efficiency: Revisiting the original construct in educational research. Educational Psychologist, 43, 16-26.

[33]

Van Merriënboer, J. J. G., & Ayres, P. (2005). Research on cognitive load theory and its design implications for E-learning. Educational Technology, Research and Development, 53, 5-13.

[34]

Van Merriënboer, J. J. G., & Sweller, J. (2005). Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions. Educational Psychology Review, 17, 147-177.

Cited By

Paay JKjeldskov JSkov MNielsen PPearce JPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Discovering activities in your city using transitory searchProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2935334.2935378(387-393)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2935334.2935378
Nielsen PPaay JPearce JKjeldskov JBoring SRukzio EGellersen HHinckley K(2015)Exploring Urban Events with Transitory Search on MobilesProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2786567.2793692(712-719)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2786567.2793692

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Investigating the influence of transitory information and motivation during instructional animations

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ICLS'08: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 1

June 2008

484 pages

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International Society of the Learning Sciences

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Published: 24 June 2008

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Cited By

Paay JKjeldskov JSkov MNielsen PPearce JPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Discovering activities in your city using transitory searchProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2935334.2935378(387-393)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2935334.2935378
Nielsen PPaay JPearce JKjeldskov JBoring SRukzio EGellersen HHinckley K(2015)Exploring Urban Events with Transitory Search on MobilesProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2786567.2793692(712-719)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2786567.2793692

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