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34 - The Feedback Principle in Multimedia Learning

from Part VII - Principles Based on Generative Activity in Multimedia Learning

Published online by Cambridge University Press:  19 November 2021

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

Feedback is widely considered an effective instructional technique that improves learning outcomes across a variety of multimedia learning environments, including interactive lessons, educational games, and simulations. The effectiveness of feedback depends on a number of factors, and in this chapter we focus on the content of the feedback message and compare corrective and explanatory feedback. Corrective feedback informs learners whether they were right or wrong, and explanatory feedback provides learners with an explanation for why their response was correct or incorrect. The feedback principle states that novices learn better with explanatory feedback than corrective feedback alone. In this chapter, we present evidence concerning the feedback principle, discuss boundary conditions that can limit its effectiveness, and explore adaptive training as an approach to mitigate some of these boundary conditions.

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Publisher: Cambridge University Press
Print publication year: 2021

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References

Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995). Cognitive tutors: Lessons learned. The Journal of the Learning Sciences, 4(2), 167207.Google Scholar
Astwood, R. S., Van Buskirk, W. L., Cornejo, J. M., & Dalton, J. (2008). The impact of different feedback types on decision-making in simulation based training environments. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 52, pp. 20622066). Los Angeles, CA: SAGE Publications.Google Scholar
Attali, Y., & van der Kleij, F. (2017). Effects of feedback elaboration and feedback timing during computer-based practice in mathematics problem solving. Computers & Education, 110, 154169.Google Scholar
Azevedo, R., & Bernard, R. M. (1995). A meta-analysis of the effects of feedback in computer-based instruction. Journal of Educational Computing Research, 13(2), 111127.Google Scholar
Bangert-Drowns, R. L., Kulik, C. L. C., Kulik, J. A., & Morgan, M. (1991). The instructional effect of feedback in test-like events. Review of Educational Research, 61(2), 213238.Google Scholar
Billings, D. R. (2012). Efficacy of adaptive feedback strategies in simulation-based training. Military Psychology, 24(2), 114133.Google Scholar
Butler, A. C., Karpicke, J. D., & Roediger, H. L. III. (2007). The effect of type and timing of feedback on learning from multiple-choice tests. Journal of Experimental Psychology: Applied, 13(4), 273281.Google Scholar
Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65(3), 245281.Google Scholar
Cameron, B., & Dwyer, F. (2005). The effect of online gaming, cognition, and feedback type in facilitating delayed achievement of different learning objectives. Journal of Interactive Learning Research, 16(3), 243258.Google Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. New York: Routledge Academic.Google Scholar
Corbalan, G., Kester, L., & van Merriënboer, J. J. G. (2009). Dynamic task selection: Effects of feedback and learner control on efficiency and motivation. Learning and Instruction, 19, 455465.Google Scholar
Durlach, P. J., & Ray, J. M. (2011). Designing Adaptive Instructional Environments: Insights from Empirical Evidence (Technical Report 1297). Arlington, VA: US Army Research Institute for the Behavioral and Social Science.Google Scholar
Dzikovska, M., Steinhauser, N., Farrow, E., Moore, J., & Campbell, G. (2014). BEETLE II: Deep natural language understanding and automatic feedback generation for intelligent tutoring in basic electricity and electronics. International Journal of Artificial Intelligence in Education, 24(3), 284332.Google Scholar
Fiorella, L., Vogel-Walcutt, J. J., & Schatz, S. (2012). Applying the modality principle to real-time feedback and the acquisition of higher-order cognitive skills. Educational Technology Research and Development, 60, 223238.Google Scholar
Frishkoff, G. A., Collins-Thompson, K., Hodges, L., & Crossley, S. (2016). Accuracy feedback improves word learning from context: Evidence from a meaning-generation task. Reading and Writing, 29(4), 609632.CrossRefGoogle Scholar
Fyfe, E. R., & Rittle-Johnson, B. (2016). Feedback both helps and hinders learning: The causal role of prior knowledge. Journal of Educational Psychology, 108(1), 8297.Google Scholar
Fyfe, E. R., Rittle-Johnson, B., & DeCaro, M. S. (2012). The effects of feedback during exploratory mathematics problem solving: Prior knowledge matters. Journal of Educational Psychology, 104(4), 10941108.Google Scholar
Goldberg, B., & Cannon-Bowers, J. (2015). Feedback source modality effects on training outcomes in a serious game: Pedagogical agents make a difference. Computers in Human Behavior, 52, 111.Google Scholar
Golke, S., Dörfler, T., & Artelt, C. (2015). The impact of elaborated feedback on text comprehension within a computer-based assessment. Learning and Instruction, 39, 123136.Google Scholar
Goodman, J. S., Wood, R. E., & Hendrickx, M. (2004). Feedback specificity, exploration, and learning. Journal of Applied Psychology, 89, 248262.Google Scholar
Graesser, A. C. (2016). Conversations with AutoTutor help students learn. International Journal of Artificial Intelligence in Education, 26(1), 124132.Google Scholar
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81112.Google Scholar
Heckler, A., & Mikula, B. (2016). Factors affecting learning of vector math from computer-based practice: Feedback complexity and prior knowledge. Physical Review Physics Education Research, 12, 010134.Google Scholar
Johnson, C. I., Bailey, S. K. T., & Van Buskirk, W. L. (2017). Designing effective feedback messages in serious games and simulations: A research review. In Wouters, P., & van Oostendorp, H. (eds.), Instructional Techniques to Facilitate Learning and Motivation of Serious Games (pp. 119140). Cham: Springer.Google Scholar
Johnson, C. I., Marraffino, M. D., Whitmer, D. E., & Bailey, S. K. T. (2019). Developing an adaptive trainer for Joint Terminal Attack Controllers. In Sottilare, R. & Schwarz, J. (eds.), Lecture Notes in Computer Science (Vol 11597, pp. 314326). Cham: Springer.Google Scholar
Johnson, C. I., Priest, H. A., Glerum, D. R., & Serge, S. R. (2013). Timing of feedback delivery in game-based training. In Proceedings of the Interservice/Industry Training, Simulation & Education Conference, Orlando, FL. Arlington, VA: National Training Systems Association.Google Scholar
Kalyuga, S. (2007). Expertise reversal effect and its implications for learner-tailored instruction. Educational Psychology Review, 19(4), 509539.Google Scholar
Kalyuga, S. (2014). The expertise reversal principle in multimedia learning. In Mayer, R. E. (ed.), The Cambridge Handbook of Multimedia Learning (pp. 576597). New York: Cambridge University Press.Google Scholar
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal effect. Educational Psychologist, 38, 2331.Google Scholar
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119(2), 254284.Google Scholar
Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 4278.Google Scholar
Kulik, J. A., & Kulik, C. C. (1988). Timing of feedback and verbal learning. Review of Educational Research, 58, 7997.Google Scholar
Landsberg, C. R., Astwood, R. S., Van Buskirk, W. L., Townsend, L. N., Steinhauser, N. B., & Mercado, A. D. (2012). Review of adaptive training system techniques. Military Psychology, 24, 96113.Google Scholar
Lin, L., Atkinson, R. K., Christopherson, R. M., Joseph, S. S., & Harrison, C. J. (2013). Animated agents and learning: Does the type of verbal feedback they provide matter? Computers & Education, 67, 239249.Google Scholar
Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901.Google Scholar
Makransky, G., Mayer, R., Nøremølle, A., Cordoba, A. L., Wandall, J., & Bonde, M. (2020). Investigating the feasibility of using assessment and explanatory feedback in desktop virtual reality simulations. Educational Technology Research and Development, 68(1), 293317.Google Scholar
Marraffino, M. D., Johnson, C. I., Whitmer, D. E., Steinhauser, N. B., & Clement, A. (2019). Advise when ready for game plan: Adaptive training for JTACs. In Proceedings of the Interservice/Industry, Training, Simulation, and Education Conference. Orlando, FL: National Training Systems Association.Google Scholar
Mason, B. J. & Bruning, R. (2001). Providing Feedback in Computer-based Instruction: What the Research Tells Us. Lincoln, NE: Center for Instructional Innovation, University of Nebraska-Lincoln. Available from http://dwb.unl.edu/Edit/MB/MasonBruning.html (last accessed March 11, 2013).Google Scholar
Mayer, R. E. (2020). Multimedia Learning (3rd ed.). New York: Cambridge University Press.Google Scholar
Mayer, R. E., & Johnson, C. I. (2010). Adding instructional features that promote learning in a game-like environment. Journal of Educational Computing Research, 42(3), 241265.CrossRefGoogle Scholar
Mayer, R. E., & Moreno, R. (1998). A split attention effect in multimedia learning: Evidence for dual-processing systems in working memory. Journal of Educational Psychology, 90, 312230.Google Scholar
Metcalfe, J., Kornell, N., & Finn, B. (2009). Delayed versus immediate feedback in children’s and adults’ vocabulary learning. Memory & Cognition, 37, 10771087.Google Scholar
Moreno, R. (2004). Decreasing cognitive load for novice students: Effects of explanatory versus corrective feedback in discovery-based multimedia. Instructional Science, 32, 99113.Google Scholar
Moreno, R., & Durán, R. (2004). Do multiple representations need explanations? The role of verbal guidance and individual differences in multimedia mathematics learning. Journal of Educational Psychology, 96(3), 492503.Google Scholar
Moreno, R., & Mayer, R. E. (1999). Multimedia-supported metaphors for meaning making in mathematics. Cognition and Instruction, 17(3), 215248.Google Scholar
Moreno, R., & Mayer, R. E. (2005). Role of guidance, reflection, and interactivity in an agent-based multimedia game. Journal of Educational Psychology, 97(1), 117128.Google Scholar
Moreno, R., & Mayer, R. E. (2007). Interactive multimodal environments: Special issue on interactive multimodal environments: Contemporary issues and trends. Educational Psychology Review, 19(3), 309326.Google Scholar
Moreno, R., Reisslein, M., & Ozogul, G. (2009). Optimizing worked-example instruction in electrical engineering: The role of fading and feedback during problem-solving practice. Journal of Engineering Education, 98, 8392.Google Scholar
Moreno, R., & Valdez, A. (2005). Cognitive load and learning effects of having students organize pictures and words in multimedia environments: The role of student interactivity and feedback. Educational Technology Research and Development, 53(3), 3545.Google Scholar
Mory, E. H. (2004). Feedback research revisited. In Jonassen, D. (ed.), Handbook of Research on Educational Communications and Technology (pp. 745783). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Mousavi, S., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual processing modes. Journal of Educational Psychology, 87, 319334.Google Scholar
Narciss, S., & Huth, K. (2004). How to design informative tutoring feedback for multi-media learning. In Niegemann, H. M., Leutner, D., & Brunken, R. (eds.), Instructional Design for Multimedia Learning (pp. 181195). Munster, NY: Waxmann.Google Scholar
Narciss, S., Sosnovsky, S., Schnaubert, L., Andrès, E., Eichelmann, A., Goguadze, G., & Melis, E. (2014). Exploring feedback and student characteristics relevant for personalizing feedback strategies. Computers & Education, 71, 5676.Google Scholar
National Academies of Sciences, Engineering, and Medicine. (2018). How People Learn II: Learners, Contexts, and Cultures. Washington, DC: National Academies Press.Google Scholar
Pashler, H., Cepeda, N. J., Wixted, J. T., & Rohrer, D. (2005). When does feedback facilitate learning of words?. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(1), 38.Google Scholar
Rivière, E., Saucier, D., Lafleur, A., Lacasse, M., & Chiniara, G. (2018). Twelve tips for efficient procedural simulation. Medical Teacher, 40(7), 743751.Google Scholar
Schmidt, R. A. (1991). Frequent augmented feedback can degrade learning: Evidence and interpretations. In Requin, J., & Stelmach, G. E. (eds.), Tutorials in Motor Neuroscience (pp. 5975). Dordrecht: Kluwer Academic Publishers.Google Scholar
Schmidt, R. A., & Wulf, G. (1997). Continuous concurrent feedback degrades skill learning: Implications for training and simulation. Human Factors, 39, 509525.Google Scholar
Serge, S. R., Priest, H. A., Durlach, P. J., & Johnson, C. I. (2013). The effects of static and adaptive performance feedback in game-based training. Computers in Human Behavior, 29(3), 11501158.Google Scholar
Shute, V. J. (2008). Focus on formative feedback. Review of Educational Research, 78(1), 153189.Google Scholar
Shute, V. J., & Zapata-Rivera, D. (2008). Adaptive technologies. In Spector, J. M., Merrill, D., van Merriënboer, J., & Driscoll, M. (eds.), Handbook of Research on Educational Communications and Technology (3rd ed., pp. 277294). New York: Lawrence Erlbaum Associates.Google Scholar
Smits, M. H. S. B., Boon, J., Sluijsmans, D. M. A., & van Gog, T. (2008). Content and timing of feedback in a web-based learning environment: Effects on learning as a function of prior knowledge. Interactive Learning Environments, 16(2), 183193.Google Scholar
Steenbergen-Hu, S., & Cooper, H. (2014). A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. Journal of Educational Psychology, 106(2), 331.Google Scholar
Stevenson, C. E. (2017). Role of working memory and strategy-use in feedback effects on children’s progression in analogy solving: An explanatory item response theory account. International Journal of Artificial Intelligence in Education, 27(3), 393418.Google Scholar
Swartout, W., Nye, B. D., Hartholt, A., Reilly, A., Graesser, A. C., VanLehn, K., Wetzel, J,, Liewer, M., Morbini, F., Morgan, B., Wang, L., Benn, G., & Rosenberg, M. (2016). Designing a personal assistant for life-long learning (PAL3). In 29th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2016 (pp. 491496). Palo Alto, CA: AAAI Press.Google Scholar
Sweller, J., & Cooper, G. A. (1985). The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 2, 5989.Google Scholar
Sweller, J., van Merriënboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251296.Google Scholar
Van Buskirk, W. L., Fraulini, N. W., Schroeder, B. L., Johnson, C. I., & Marraffino, M. D. (2019). Application of theory to the development of an adaptive training system for a submarine electronic warfare task. In Sottilare, R. A., & Schwarz, J. (eds.), International Conference on Human-Computer Interaction (pp. 352362). Cham: Springer.Google Scholar
van der Kleij, F. M., Feskens, R. C., & Eggen, T. J. H. M. (2015). Effects of feedback in a computer-based learning environment on students’ learning outcomes: A meta-analysis. Review of Educational Research, 85, 475511.Google Scholar
Vanderwaetere, M., Desmet, P., & Clarebout, G. (2011). The contribution of learner characteristics in the development of computer-based adaptive learning environments. Computers in Human Behavior, 27, 118130.Google Scholar
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197221.Google Scholar
Vollmeyer, R., & Rheinberg, F. (2005). A surprising effect of feedback on learning. Learning and Instruction, 15, 589602.Google Scholar
What Works Clearinghouse. (2019). Using technology to support postsecondary student learning: A practice guide for colleges and university administrators, advisors, and faculty. Available from https://ies.ed.gov/ncee/wwc/Docs/PracticeGuide/wwc-using-tech-postsecondary.pdf (last accessed September 1, 2020).Google Scholar
Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research. Frontiers in Psychology, 10, 3087.Google Scholar

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