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10 - Metacognition in Multimedia Learning

from Part II - Theoretical Foundations

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

Cognitive and metacognitive strategies are key to successful learning with multimedia; however, research shows that learners rarely use these strategies effectively and consequently fail to develop a deep understanding of complex topics and domains. Dynamically and accurately monitoring and regulating one’s own cognitive and metacognitive strategies is necessary to be a successful learner but demands an enormous amount of effort. In this chapter, we (1) define metacognitive strategies during multimedia learning; (2) review recent empirical literature on metacognitive strategies during multimedia learning; (3) present a new model of multimedia learning ; (4) provide recommendations for augmenting contemporary cognitive theories of multimedia learning to account for metacognition; (5) propose empirically-based principles for designing multimedia environments aimed at fostering metacognitive strategies; and finally (6) highlight directions for future research.

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Publisher: Cambridge University Press
Print publication year: 2021

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References

Ainsworth, S. (2014). The multiple representation principle in multimedia learning. In Mayer, R. (ed.), The Cambridge Handbook of Multimedia Learning (2nd ed., pp. 464486). Cambridge: Cambridge University Press.Google Scholar
Alemdag, E., & Cagiltay, K. (2018). A systematic review of eye tracking research on multimedia learning. Computers & Education, 125, 413428.Google Scholar
Antonietti, A., Colombo, B., & Di Nuzzo, C. (2014). Metacognition in self-regulated multimedia learning: Integrating behavioural, psychophysiological and introspective measures. Learning Media and Technology, 40, 187209.Google Scholar
Ayers, P. (2020). Something old, something new from cognitive load theory. Computers in Human Behavior, 113, 10.Google Scholar
Azevedo, R. (2005). Computers as metacognitive tools for enhancing learning. Educational Psychologist, 40, 193197.Google Scholar
Azevedo, R. (2014). Multimedia learning of metacognitive strategies. In. Mayer, R. E. (ed.), The Cambridge Handbook of Multimedia Learning (2nd ed., pp. 647673). New York: Cambridge University Press.Google Scholar
Azevedo, R. (2020). Reflections on the field of metacognition: Issues challenges, and opportunities. Metacognition and Learning, 15, 9198.Google Scholar
Azevedo, R., Mudrick, N., Taub, M., & Bradbury, A. (2019). Self-regulation in computer-assisted learning systems. In Dunlosky, J., & Rawson, K. (eds.), Handbook of Cognition and Education (pp. 587618). New York: Cambridge University Press.Google Scholar
Bohn-Gettler, C. M. (2019). Getting a grip: The PET framework for studying how reader emotions influence comprehension. Discourse Processes, 56, 386401.CrossRefGoogle Scholar
Catrysse, L., Gijbels, D., Donche, V., De Maeyer, S., Lesterhuis, M., & van den Bossche, P. (2018). How are learning strategies reflected in the eyes? Combining results from self-reports and eye-tracking. British Journal of Educational Psychology, 88, 118137.Google Scholar
Dever, D. A., & Azevedo, R. (2019). Examining gaze behaviors and metacognitive judgments of informational text within game-based learning environments. In Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., & Luckin, R. (eds.), Proceedings of the 20th International Conference on Artificial Intelligence in Education (pp. 121132). Amsterdam: Springer.Google Scholar
Dunlosky, J., Dudley, D., Spitznage, M. B., & Clements, R. J. (2017). Student’s metamemory knowledge about the impact of stereoscopic three‐dimensional presentations of science content. Applied Cognitive Psychology, 33, 225233.Google Scholar
Efklides, A., Schwartz, B. L., & Brown, V. (2018). Motivation and affect in self-regulated learning: Does metacognition play a role? In Schunk, D. H., & Greene, J. A. (eds.), Handbook of Self-regulation of Learning and Performance (2nd ed., pp. 6482). New York: Routledge.Google Scholar
Eitel, A. (2016). How repeated studying and testing affects multimedia learning: Evidence for adaptation to task demands. Learning and Instruction, 41, 7084.Google Scholar
Fenesi, B., & Kim, J. A. (2014). Learners misperceive the benefits of redundant text in multimedia learning. Frontiers in Psychology, 5, 17.Google Scholar
Fiedler, K., & Beier, S. (2014). Affect and cognitive processing in educational contexts. In Pekrun, R., & Linnenbrink-Garcia, L. (eds.), International Handbook of Emotions in Education (pp. 3655). New York: Taylor & Francis.Google Scholar
Forgas, J. P. (2017). Mood effects on cognition: Affective influences on the content and process of information processing and behavior. In Jeon, M. (ed.), Emotions and Affect in Human Factors and Human–Computer Interaction (pp. 89122). New York: Academic Press.Google Scholar
Greene, J. A., & Azevedo, R. (2009). A micro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system. Contemporary Educational Psychology, 34, 1829.CrossRefGoogle Scholar
Greene, J. A., Deekens, V., Copeland, D., & Yu, S. (2018). Capturing and modeling self-regulated learning using think-aloud protocols. In Schunk, D., & Greene, J. A. (eds.), Handbook of Self-regulation of Learning and Performance (2nd ed., pp. 323337). New York: Routledge.Google Scholar
Hadwin, A., Järvelä, S., & Miller, M. (2018). Self-regulated, co-regulation, and shared regualtion in collaborative learning environments. In Schunk, D., & Greene, J. A. (eds.), Handbook of Self-regulation of Learning and Performance (2nd ed., pp. 83105). New York: Routledge.Google Scholar
Harley, J. M., Taub, M., Azevedo, R., & Bouchet, F. (2018). Let’s set up some subgoals: Understanding human-pedagogical agent collaborations and their implications for learning and prompt and feedback compliance. IEEE Transactions on Learning Technologies, 11, 5466.Google Scholar
Hegarty, M. (2014). Multimedia learning and the development of mental models. In Mayer, R. (ed.), Handbook of Multimedia (2nd ed.). Cambridge: Cambridge University Press.Google Scholar
Hoch, E., Scheiter, K., & Schuler, A. (2020). Implementation intentions for improving self-regulation in multimedia learning: Why don’t they work? The Journal of Experimental Education, 88, 536558.Google Scholar
Jaeger, A., & Wiley, J. (2014). Do illustrations help or harm metacomprehension accuracy? Learning and Instructions, 34, 5873.Google Scholar
Klepsch, M., & Seufert, T. (2020). Understanding instructional design effects by differentiated measurement of intrinsic, extraneous, and germane cognitive load. Instructional Science, 48, 4577.Google Scholar
Kramarski, B., & Friedman, S. (2014). Solicited versus unsolicited metacognitive prompts for fostering mathematical problem-solving using multimedia. Journal of Educational Computing Research, 50, 285314.Google Scholar
Lajoie, S. P., & Azevedo, R. (2006). Teaching and learning in technology-rich environments. In Alexander, P., & Winne, P. (eds.), Handbook of Educational Psychology (2nd ed., pp. 803821). Mahwah, NJ: Erlbaum.Google Scholar
Lehman, J., Goussios, C., & Seufert, T. (2016). Working memory capacity and disfluency effect: An aptitude-treatment-interaction study. Metacognition and Learning, 11, 89105.Google Scholar
Li, J., Antonenko, P., & Wang, J. (2019). Trends and issues in multimedia learning research in 1996–2016: A bibliometric analysis. Educational Research Review, 28, 121.Google Scholar
Matton, N., Vrignaud, C., Rouillard, Y., & Lemarié, J. (2018). Learning flight procedures by enacting and receiving feedback. Applied Ergonomics, 70, 253259.Google Scholar
Mayer, R. E. (2001). Multimedia Learning. New York: Cambridge University Press.CrossRefGoogle Scholar
Mayer, R. E. (2009). Multimedia Learning (2nd ed.). New York: Cambridge University Press.Google Scholar
Mayer, R. E. (ed.) (2014). The Cambridge Handbook of Multimedia Learning. New York: Cambridge University Press.Google Scholar
Mayer, R. E. (2019). Thirty years of research on online research. Applied Cognitive Psychology, 33, 152159.Google Scholar
McCardle, L., & Hadwin, A. F. (2015). Using multiple, contextualized data sources to measure learners’ perceptions of their self-regulated learning. Metacognition and Learning, 10, 4375.Google Scholar
Mevarech, Z. R., Verschaffel, L., & De Corte, E. (2018). Metacognitive pedagogies in mathematics classrooms: From kindergarten to college and beyond. In Schunk, D. H., & Greene, J. A. (eds.), Handbook of Self-regulation of Learning and Performance (2nd ed., pp. 109123). New York: Routledge.Google Scholar
Moreno, R. (2006). Learing in high-tech and multimedia environments. Current Directions in Psychological Science, 15, 6367.Google Scholar
Mudrick, N. V., Azevedo, R., & Taub, M. (2019). Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning. Computers in Human Behavior, 96, 223234.Google Scholar
Nelson, T., & Narens, L. (1990). Metamemory: A Theoretical Framework and New Findings. The Psychology of Learning and Motivation (pp. 125173). New York: Academic Press.Google Scholar
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 128.Google Scholar
Paulson, E. J., & Bauer, L. (2011). Goal setting as an explicit element of metacognitive reading and study strategies for college readers. National Association for Developmental Education Digest, 5, 4149.Google Scholar
Pilegard, C., & Mayer, R. (2015). Adding judgments of understanding to the metacognitive toolbox. Learning and Individual Differences, 41, 6272.Google Scholar
Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In Boekaerts, M., Pintrich, P. R., & Zeidner, M. (eds.), Handbook of Self-regulation (pp. 452502). San Diego, CA: Academic Press.Google Scholar
Riemer, V., & Schrader, C. (2019). Mental model development in multimedia learning: Interrelated effects of emotions and self-monitoring. Frontiers in Psychology, 10, https://doi.org/10.3389/fpsyg.2019.00899.Google Scholar
Scheiter, K., Schubert, C., & Schüler, A. (2018). Self-regulated learning from illustrated text: Eye movement modelling to support use and regulation of cognitive processes during learning from multimedia. British Journal of Educational Psychology, 88, 8094.Google Scholar
Schunk, D. H., & Greene, J. A. (eds.) (2018). Handbook of Self-regulation of Learning and Performance (2nd ed.). New York: Routledge.Google Scholar
Stark, L., Brünken, R., & Park, B. (2018). Emotional text design in multimedia learning: A mixed-methods study using eye tracking. Computers & Education, 120, 185196.Google Scholar
Strobel, B., Lindner, M. A., Saß, S., & Köller, O. (2018). Task-irrelevant data impair processing of graph reading tasks: An eye tracking study. Learning and Instruction, 55, 139147.Google Scholar
Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68, 116.Google Scholar
Tarricone, P. (2011). The Taxonomy of Metacognition. New York: Psychology Press.Google Scholar
Taub, M., & Azevedo, R. (2019). How does prior knowledge influence eye fixations and sequences of cognitive and metacognitive SRL processes during learning with an intelligent tutoring system? International Journal of Artificial Intelligence in Education, 29, 128.Google Scholar
Usher, E. L., & Schunk, D. H. (2018). Social cognitive theoretical perspective of self-regulation. In Schunk, D. H., & Greene, J. A. (eds.), Handbook of Self-regulation of Learning and Performance (2nd ed., pp. 1935). New York: Routledge.Google Scholar
Winne, P. H. (2018). Cognition and metacognition withing self-regulated learning. In Schunk, D., & Greene, J. A. (eds.), Handbook of Self-regulation of Learning and Performance (2nd ed., pp. 3648). New York: Routledge.Google Scholar
Winne, P. H. (2019). Paradigmatic dimensions of instrumentation and analytic methods in research on self-regulated learning. Computers in Human Behavior, 96, 285289.Google Scholar
Winne, P. H., & Azevedo, R. (in press). Metacognition. In Sawyer, K. (ed.), Cambridge Handbook of the Learning Sciences (3rd ed., pp. 6387). Cambridge: Cambridge University Press.Google Scholar
Winne, P. H., & Hadwin, A. F. (2008). The weave of motivation and self-regulated learning. In Schunk, D. H., & Zimmerman, B. J. (eds.), Motivation and Self-Regulated Learning: Theory, Research, and Applications (pp. 297314). Mahwah, NJ: Erlbaum.Google Scholar

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