Bridging Cognitive Load and Self-Regulated Learning Research: A complementary approach to contemporary issues in educational research

Learning and Instruction

Volumn 51, Issue , 2017, Pages 1-9

  de Bruin, Anique B H ^a   van Merriënboer, Jeroen J G ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Cognitive load; Cue diagnosticity; Cue utilization; Self regulated learning; Special issue

Indexed keywords

EID: 85020880845     PISSN: 09594752     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.learninstruc.2017.06.001     Document Type: Article

References (58)

1. Ackerman, R., Thompson, V., Meta-Reasoning: What can we learn from meta-memory. Feeney, A., Thompson, V., (eds.) Reasoning as memory, 2015, Psychology Press, Hove, UK, 164–178.
2. Ackerman, R., & Thompson, V. (in press). Meta-Reasoning: Shedding meta-cognitive light on reasoning research. L. Ball & V. Thompson (Eds.), International handbook of thinking & reasoning. Psychology Press.
3. Ayres, P., Why goal-free problems can facilitate learning. Contemporary Educational Psychology 18 (1993), 376–381.
4. Bjork, R.A., Dunlosky, J., Kornell, N., Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology 64 (2013), 417–444.
5. Cowan, N., Working memory underpins cognitive development, learning, and education. Educational Psychology Review 26 (2014), 197–223.
6. De Bruin, A.B.H., Dunlosky, J., Cavalcanti, R.B., Monitoring and regulation of learning in medical education: The need for predictive cues. Medical Education 51 (2017), 575–584.
7. De Bruin, A.B.H., van Gog, T., Improving self-mon-itoring and self-regulation: From cognitive psychology to the classroom. Learning and Instruction 22 (2012), 245–252.
8. Diao, Y.L., Sweller, J., Redundancy in foreign language reading comprehension instruction: Concurrent written and spoken presentations. Learning and Instruction 17 (2007), 78–88.
9. Dikker, S., Wan, L., Davidesco, I., Kaggen, L., McClintock, J., Oostrik, M., et al. Brain-to-brain synchrony predicts student engagement and social dynamics in the classroom: A crowd-sourcing neuroscience study. Poster presented at the Annual Meeting for the Cognitive Neuroscience Society, NY, 2016.
10. Dunlosky, J., Rawson, K.A., Overconfidence produces underachievement: Inaccurate self evaluations undermine students' learning and retention. Learning and Instruction 22 (2012), 271–280.
11. Gerjets, P., Scheiter, K., Catrambone, R., Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations?. Learning and Instruction 16 (2006), 104–121.
12. Ginns, P., Meta-analysis of the modality effect. Learning and Instruction 15 (2005), 313–331.
13. Ginns, P., Integrating information: A meta-analysis of the spatial contiguity and temporal contiguity effects. Learning and Instruction 16 (2006), 511–525.
14. Glogger-Frey, I., Gaus, K., & Renkl, A. (in this issue). Learning from direct instruction: Best prepared by several self-regulated or guided invention activities? Learning and Instruction.
15. Hartwig, M., Dunlosky, J., The contribution of judgment scale to the unskilled-and-unaware phenomenon: How evaluating others can exaggerate over- (and under-) confidence. Memory & Cognition 42:1 (2014), 164–173.
16. Hertzog, C., Dunlosky, J., Robinson, A.E., Kidder, D.P., Encoding fluency is a cue used for judgments about learning. Journal of Experimental Psychology: Learning, Memory, & Cognition 29 (2003), 22–34.
17. Jungwirth, B., Information overload: Threat or opportunity. Journal of Adolescent & Adult Literacy 45:5 (2002), 90–91.
18. Kalyuga, S., Rikers, R., Paas, F., Educational implications of expertise reversal effects in learning and performance of complex cognitive and sensorimotor skills. Educational Psychology Review 24 (2012), 313–337.
19. Korbach, A., Bruenken, R., Park, B., Differentiating different types of cognitive load: A comparison of different measures. Educational Psychology Review, 2017, 10.1007/s10648-017-9404-8 First Online.
20. Koriat, A., How do we know that we know? The accessibility model of the feeling of knowing. Psychological Review 100 (1993), 609–639.
21. Koriat, A., Monitoring one's own knowledge during study: A cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General 126 (1997), 349–370.
22. Koriat, A., Bjork, R.A., Mending metacognitive illusions. A comparison of mnemonic-based and theory-based procedures. Journal of Experimental Psychology: Learning, Memory, and Cognition 32 (2006), 1133–1145.
23. Koriat, A., Goldsmith, M., Monitoring and control processes in the strategic regulation of memory accuracy. Psychological Review 103 (1996), 490–517.
24. Lauterman, T., Ackerman, R., Overcoming screen inferiority in learning and calibration. Computers in Human Behavior 35 (2014), 455–463.
25. Leppink, J., Paas, F., van Gog, T., van der Vleuten, C., van Merriënboer, J.J.G., Effects of pairs of problems and examples on task performance and different types of cognitive load. Learning and Instruction 30 (2014), 32–42.
26. Maranges, H., Schmeigel, B., & Baumeister, R.F. (in this issue). Comparing cognitive load and self-regulatory depletion: Effects on emotions and cognitions. Learning and Instruction.
27. Mayer, R.E., (eds.) The Cambridge handbook of multimedia learning, 2nd ed., 2014, Cambridge University Press, New York.
28. Nelson, T.O., Narens, L., Metamemory: A theoretical framework and new findings. The Psychology of Learning and Motivation 26 (1990), 125–141.
29. Paas, F., Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive load approach. Journal of Educational Psychology 84 (1992), 429–434.
30. Paas, F., Tuovinen, J.E., van Merrienboer, J.J.G., Darabi, A.A., A motivational perspective on the relation between mental effort and performance: Optimizing learner involvement in instruction. Educational Technology Research and Development 53:3 (2005), 25–34.
31. Paas, F., van Merrienboer, J.J.G., The efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors 35 (1993), 737–743.
32. Paas, F., van Merriënboer, J.J.G., Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach. Journal of Educational Psychology 86 (1994), 122–133.
33. Pintrich, P.R., Wolters, C.A., Baxter, G.P., Assessing metacognition and self- regulated learning. Schraw, G., Impara, J.C., (eds.) Issues in the measurement of metacognition, 2000, Buros Institute of Mental Measurements, Lincoln, Nebraska, 43–97.
34. Pollock, E., Chandler, P., Sweller, J., Assimilating complex information. Learning and Instruction 12 (2002), 61–86.
35. Raaijmakers, S.F., Baars, M., Schaap, L., Paas, F., & Van Gog, T. (in this issue). Effects of performance feedback valence on perceptions of invested mental effort. Learning and Instruction.
36. Renkl, A., Worked-out examples: Instructional explanations support learning by self-explanations. Learning and Instruction 12 (2002), 529–556.
37. Schleinschok, K., Eitel, A., & Scheiter, K. (in this issue). Do drawing tasks improve monitoring and control when learning from texts? Learning and Instruction.
38. Schmeck, A., Opfermann, M., van Gog, T.A.J.M., Paas, G.W.C., Leutner, D., Measuring cognitive load with subjective rating scales during problem solving: Differences between immediate and delayed ratings. Instructional Science 43 (2015), 93–114.
39. Shipstead, Z., Lindsey, D.R.B., Marshall, R.L., Engle, R.W., The mechanisms of working memory capacity: Primary memory, secondary memory, and attention control. Journal of Memory and Language 72 (2014), 116–141.
40. Sidi, Y., Shpigelman, M., Zalmanov, H., & Ackerman, R. (in this issue). Understanding metacognitive inferiority on screen by exposing cues for depth of processing. Learning and Instruction.
41. Sonnenberg, C., Bannert, M., Discovering the effects of metacognitive prompts on the sequential structure of SRL-processes using process mining techniques. Journal of Learning Analytics 2 (2015), 72–100.
42. Sweller, J., Cognitive load during problem solving: Effects on learning. Cognitive Science 12 (1988), 257–285.
43. Sweller, J., Instructional implications of David C. Geary's evolutionary educational psychology. Educational Psychologist 43 (2008), 214–216.
44. Sweller, J., van Merriënboer, J.J.G., Paas, F., Cognitive architecture and instructional design. Educational Psychology Review 10 (1998), 251–296.
45. Thiede, K.W., Anderson, M.C.M., Summarizing can improve metacomprehension accuracy. Contemporary Educational Psychology. 28 (2003), 129–160.
46. Thiede, K.W., Anderson, M.C.M., Therriault, D., Accuracy of metacognitive monitoring affects learning of texts. Journal of Educational Psychology 95 (2003), 66–73.
47. Undorf, M., Ackerman, R., The puzzle of study time allocation for the most challenging items. Psychonomic Bulletin & Review, 2017, 10.3758/s13423-017-1261-4.
48. Van Gog, T., Paas, F., Instructional efficiency: Revisiting the original construct in educational research. Educational Psychologist 43:1 (2008), 16–26.
49. Van Loon, M.H., De Bruin, A.B.H., Van Gog, T., Van Merriënboer, J.J., Dunlosky, J., Can students evaluate their understanding of cause-and-effect relations? The effects of diagram completion on monitoring accuracy. Acta Psychologica 151 (2014), 143–154.
50. Van Loon, M.H., Destan, N., Spiess, M., De Bruin. A.B.H., & Roebers, C. (in this issue). Developmental progression in performance evaluations: Effects of children's cue-utilization and self-protection. Learning and Instruction.
51. Van Merriënboer, J.J.G., How people learn. Rushby, N., Surry, D.W., (eds.) The wiley handbook of educational technology, 2016.
52. Van Merriënboer, J.J.G., Kester, L., Paas, F., Teaching complex rather than simple tasks: Balancing intrinsic and germane load to enhance transfer of learning. Applied Cognitive Psychology 20 (2006), 343–352.
53. Van Merriënboer, J.J.G., Kirschner, P.A., Ten steps to complex learning. 2nd Rev. Ed., 2013, Routledge, New York.
54. Van Merrienboer, J.J.G., Schuurman, J.G., de Croock, M.B.M., Paas, F., Redirecting learners' attention during training: Effects on cognitive load, transfer test performance and training efficiency. Learning and Instruction 12 (2002), 11–37.
55. Van Merriënboer, J.J.G., Sweller, J., Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review 17 (2005), 147–177.
56. Whittaker, S., Kalnikaitė, V., Petrelli, D., Sellen, A., Villar, N., Bergman, O., et al. Socio-technical lifelogging: Deriving design principles for a future proof digital past. Human-Computer Interaction 27:1–2 (2012), 37–62.
57. Winne, P.H., Hadwin, A.F., Studying as self-regulated learning. Hacker, D.J., Dunlosky, J., Graesser, A.C., (eds.) Metacognition in educational theory and practice, 1998, Erlbaum, Mahwah, NJ, 227–304.
58. Zhu, Z., Satizabal, H.F., Blanke, U., Perez-Uribe, A., Troster, G., Naturalistic recognition of activities and mood using wearable electronics. IEEE Transactions on Affective Computing 7 (2016), 272–285.