Abstract
This chapter provides an overview of the theory of metacognition, empirical evidence regarding how to increase learning, and examples of how it can be incorporated into digital workplace settings. In a digital learning environment, the 13 principles of multimedia learning, coherence, signaling, redundancy, spatial contiguity, temporal contiguity, segmentation, pre-training, modality, multimedia, personalization, voice, embodiment, and images should be utilized to increase coherence. Evidence-based learning techniques such as practice testing, distributed practice, interleaved practice, self-explanation, and elaborative interrogation facilitate the retention and application of new material. In digital learning environments, applying a combination of the 13 principles and evidence-based pedagogical techniques should result in increased metacognition, learning, and engagement.
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References
Ainsworth, S., & Burcham, S. (2007). The impact of text coherence on learning by self-explanation. Learning and Instruction, 17, 286–303.
Bahrick, H. P. (1979). Maintenance of knowledge: Questions about memory we forgot to ask. Journal of Experimental Psychology: General, 108, 296–308.
Berry, D. C. (1983). Metacognitive experience and transfer of logical reasoning. Quarterly Journal of Experimental Psychology, 35A, 39–49.
Bjork, E. L., & Bjork, R. A. (2014). Making things hard on yourself, but in a good way: Creating desirable difficulties to enhance learning. In M. A. Gernsbacher & J. Pomerantz (Eds.), Psychology and the real world: Essays illustrating fundamental contributions to society (2nd edition) (pp. 59–68). New York, NY: Worth.
Butler, A. C. (2010). Repeated testing produces superior transfer of learning relative to repeated studying. Journal of Experimental Psychology. Learning, Memory, and Cognition, 36(5), 1118–1133.
Carlson, R. A., & Shin, J. C. (1996). Practice schedules and subgoal instantiation in cascaded problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 157–168.
Carpenter, S. K., & DeLosh, E. L. (2006). Impoverished cue support enhances subsequent retention: Support for the elaborative retrieval explanation of the testing effect. Memory & Cognition, 34(2), 268–276.
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132, 354–380.
Cepeda, N. J., Vul, E., Rohrer, D., Wixted, J. T., & Pashler, H. (2008). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science, 19, 1095–1102.
Chi, M. T. H. (2000). Self-explaining expository texts: The dual processes of generating inferences and repairing mental models. In R. Glaser (Ed.), Advances in instructional Psychology (pp. 161–238). Hillsdale, NJ: Lawrence Erlbaum Associates.
Chi, M. T. H., de Leeuw, N., Chiu, M.-H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18, 439–477.
de Bruin, A. B. H., Rikers, R. M. J. P., & Schmidt, H. G. (2007). The effect of self-explanation and prediction on the development of principled understanding of chess in novices. Contemporary Educational Psychology, 32, 188–205.
Donovan, J. J., & Radosevich, D. J. (1999). A meta-analytic review of the distribution of practice effect: Now you see it, now you don’t. Journal of Applied Psychology, 84, 795–805.
Dunlosky, J., & Metcalfe, J. (2009). Metacognition. Thousand Oaks, CA: Sage.
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58.
Dunning, D., Johnson, K., Ehrlinger, J., & Kruger, J. (2003). Why people fail to recognize their own incompetence. Current Directions in Psychological Science, 12(3), 83–87.
Ferster, C. B., & Skinner, B. F. (1957). Schedules of reinforcement. East Norwalk, CT: Appleton-Century-Crofts.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906.
Fyfe, E. R., McNeil, N. M., Son, J. Y., & Goldstone, R. L. (2014). Concreteness fading in mathematics and science instruction: A systematic review. Educational Psychology Review, 26(1), 9–25.
Glover, J. A. (1989). The “testing” phenomenon: Not gone but nearly forgotten. Journal of Educational Psychology, 81(3), 392–399.
Glover, J. A., & Corkill, A. J. (1987). Influence of paraphrased repetitions on the spacing effect. Journal of Educational Psychology, 79, 198–199.
Griffin, T. D., Wiley, J., & Thiede, K. W. (2008). Individual differences, rereading, and self-explanation: Concurrent processing and cue validity as constraints on metacomprehension accuracy. Memory & Cognition, 36, 93–103.
Gurung, R. A. R. (2005). How do students really study (and does it matter)? Teaching of Psychology, 32, 367–372.
Gurung, R. A., Weidert, J., & Jeske, A. (2010). Focusing on how students study. Journal of the Scholarship of Teaching and Learning, 10(1), 28–35.
Hacker, D. J., Bol, L., Horgan, D. D., & Rakow, E. A. (2000). Test prediction and performance in a classroom context. Journal of Educational Psychology, 92(1), 160.
Hausmann, R. G., & Chi, M. H. (2002). Can a computer interface support self-explaining. Cognitive. Technology, 7(1), 4–14.
Janiszewski, C., Noel, H., & Sawyer, A. G. (2003). A meta-analysis of the spacing effect in verbal learning: Implications for research on advertising repetition and consumer memory. Journal of Consumer Research, 30, 138–149.
Kramarski, B., & Dudai, V. (2009). Group-metacognitive support for online inquiry in mathematics with differential self-questioning. Journal of Educational Computing Research, 40(4), 377–404.
Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology, 77(6), 1121.
Mayer, R. E. (2005a). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 31–48). New York, NY: Cambridge University Press.
Mayer, R. E. (2005b). Principles for managing essential processing in multimedia learning: Segmenting, pre-training, and modality principles. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 169–182). New York, NY: Cambridge University Press.
Mayer, R. E. (2005c). Principles for reducing extraneous processing in multimedia learning: Coherence, signaling, redundancy, spatial contiguity, and temporal contiguity principles. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 183–200). New York, NY: Cambridge University Press.
Mayer, R. E. (2005d). Principles of multimedia learning based on social cues: Personalization, voice, and image principles. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 202–212). New York, NY: Cambridge University Press.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York, NY: Cambridge University Press.
Mayer, R. E. (2011). Instruction based on visualizations. In R. E. Mayer & P. A. Alexander (Eds.), Handbook of research on learning and instruction (pp. 427–445). New York, NY: Routledge.
Mayer, R. E. (2014). Research-based principles for designing multimedia instruction. In V. A. Benassi, C. E. Overson, & C. M. Hakala (Eds.), Applying science of learning in education: Infusing psychological science into the curriculum. Retrieved from the Society for the Teaching of Psychology web site: http://teachpsych.org/ebooks/asle2014/index.php
McDermott, K. B., Agarwal, P. K., D’Antonio, L., Roediger, H. L., & McDaniel, M. A. (2014). Both multiple-choice and short-answer quizzes enhance later exam performance in middle and high school classes. Journal of Experimental Psychology: Applied, 20(1), 3–21.
Nevin, J. A., Grace, R. C., Holland, S., & McLean, A. P. (2001). Variable-ratio versus variable-interval schedules: Response rate, resistance to change, and preference. Journal of the Experimental Analysis of Behavior, 76(1), 43–74.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 19, pp. 123–205). New York, NY: Academic Press.
Pressley, M., McDaniel, M. A., Turnure, J. E., Wood, E., & Ahmad, M. (1987). Generation and precision of elaboration: Effects on intentional and incidental learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 291–300.
Rawson, K. A., & Kintsch, W. (2005). Rereading effects depend upon the time of test. Journal of Educational Psychology, 97, 70–80.
Renkl, A., Stark, R., Gruber, H., & Mandl, H. (1998). Learning from worked-out examples: The effects of example variability and elicited self-explanations. Contemporary Educational Psychology, 23(1), 90–108.
Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–27.
Roediger, H. L., Putnam, A. L., & Smith, M. A. (2011). Ten benefits of testing and their applications to educational practice. In J. Mestre & B. Ross (Eds.), The psychology of learning and motivation: Cognition in education (Vol. 55, pp. 1–36). San Diego, CA: Elsevier Academic Press.
Rohrer, D., & Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35, 481–498.
Willingham, D. T. (2009). Why don't students like school?: A cognitive scientist answers questions about how the mind works and what it means for the classroom. San Francisco, CA: Jossey-Bass.
Woloshyn, V. E., & Stockley, D. B. (1995). Helping students acquire belief-inconsistent and belief-consistent science facts: Comparisons between individual and dyad study using elaborative interrogation, self-selected study and repetitious-reading. Applied Cognitive Psychology, 9, 75–89.
Wood, E., Pressley, M., & Winne, P. H. (1990). Elaborative interrogation effects on children’s learning of factual content. Journal of Educational Psychology, 82(4), 741–748.
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Devers, C.J., Devers, E.E., Oke, L.D. (2018). Encouraging Metacognition in Digital Learning Environments. In: Ifenthaler, D. (eds) Digital Workplace Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-46215-8_2
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