Abstract
The literature on cognitive processing and strategic processing is murky with regard to how these types of processing influence learning. One reason for this is that the frameworks used to investigate these relations have separately focused on different aspects related to cognitive processing with little integration between them. To address these issues, we discuss why this may have happened, and the obstacles to integrating multiple models, and give three exemplars of how integrated models can help untangle the relations between cognitive processing and learning. Specifically, we highlight the Model of Domain Learning, Self-regulated Learning, and Approaches to Learning. Our goal in developing these integrations is to provide researchers with a more complex, dynamic way to evaluate the role of cognition in learning.
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References
Alexander, P. A. (1997). Mapping the multidimensional nature of domain learning: The interplay of cognitive, motivational, and strategic forces. In M. L. Maehr & P. R. Pintrich (Eds.), Advances in motivation and achievement (Vol. 10, pp. 213–250). JAI Press.
Alexander, P. A. (2003). The development of expertise: The journey from acclimation to proficiency. Educational Researcher, 32(8), 10–14. https://doi.org/10.3102/0013189X032008010
Alexander, P. A. (2004). A model of domain learning: Reinterpreting expertise as a multidimensional, multistage process. In D. Y. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 273–298). Lawrence Erlbaum Associates.
Alexander, P. A., Graham, S., & Harris, K. R. (1998). A perspective on strategy research: Progress and prospects. Educational Psychology Review, 10(2), 129–154. https://doi.org/10.1023/A:1022185502996
Asikainen, H., & Gijbels, D. (2017). Do students develop towards more deep approaches to learning during studies? A systematic review on the development of students’ deep and surface approaches to learning in higher education. Educational Psychology Review, 29(2), 205–234. https://doi.org/10.1007/s10648-017-9406-6
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall.
Box, G. E., & Draper, N. R. (1987). Empirical model-building and response surfaces. John Wiley & Sons.
Braasch, J. L. G., & Goldman, S. R. (2010). The role of prior knowledge in learning from analogies in science texts. Discourse Processes, 47(6), 447–479. https://doi.org/10.1080/01638530903420960
Craik, F. I., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11(6), 671–684. https://doi.org/10.1016/S0022-5371(72)80001-X
Dinsmore, D. L. (2017). Towards a dynamic, multidimensional model of strategic processing. Educational Psychology Review, 29(2), 235–268. https://doi.org/10.1007/s10648-017-9407-5
Dinsmore, D. L., & Alexander, P. A. (2012). A critical discussion of deep and surface processing: What it means, how it is measured, the role of context, and model specification. Educational Psychology Review, 24(4), 499–567. https://doi.org/10.1007/s10648-012-9198-7
Dinsmore, D. L., & Alexander, P. A. (2016). A multidimensional investigation of deep-level and surface-level processing. Journal of Experimental Education, 84(2), 213–244. https://doi.org/10.1080/00220973.2014.979126
Dinsmore, D. L., & Zoellner, B. P. (2018). The relation between cognitive and metacognitive strategic processing during science simulations. British Journal of Educational Psychology, 88(1), 95–117. https://doi.org/10.1111/bjep.12177
Dinsmore, D. L., Hattan, C., & List, A. (2018). A meta-analysis of strategy use and performance in the Model of Domain Learning. In H. Fives & D. L. Dinsmore (Eds.), The Model of Domain Learning: Understanding the development of expertise (pp. 37–55). Routledge.
Entwistle, N. J., & Ramsden, P. (1983). Understanding student learning. Croom Helm. https://doi.org/10.4324/9781315718637
Fives, H., & Dinsmore, D. L. (Eds.) (2018). The model of domain learning: Understanding the development of expertise. Routledge. https://doi.org/10.4324/9781315458014
Freed, R., Greene, J. A., & Plumley, R. D. (2020). Variable-centered approaches. In D. L. Dinsmore, L. K. Fryer, & M. M. Parkinson (Eds.), Handbook of Strategies and Strategic Processing (pp. 345–360). Routledge.
Fryer, L. K., & Shum, A. (2020). Person-centered approaches to explaining students’ cognitive processing strategies. In D. L. Dinsmore, L. K. Fryer, & M. M. Parkinson (Eds.), Handbook of Strategies and Strategic Processing (pp. 361–372). Routledge.
Fryer, L. K., & Vermunt, J. D. (2018). Regulating approaches to learning: Testing learning strategy convergences across a year at university. British Journal of Educational Psychology, 88(1), 21–41. https://doi.org/10.1111/bjep.12169
Fryer, L. K., Ginns, P., Walker, R. A., & Nakao, K. (2012). The adaptation and validation of the CEQ and the R-SPQ-2F to the Japanese tertiary environment: CEQ and the R-SPQ-2F in the Japanese tertiary environment. British Journal of Educational Psychology, 82(4), 549–563. https://doi.org/10.1111/j.2044-8279.2011.02045.x
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), 1094–1108. https://doi.org/10.1037/a0028389
Greene, J. A., & Azevedo, R. (2007). A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions. Review of Educational Research, 77(3), 334–372. https://doi.org/10.3102/003465430303953
Hattan, C., Alexander, P. A., & Lupo, S. M. (2023). Leveraging what students know to make sense of texts: What the research says about prior knowledge activation. Review of Educational Research. https://doi.org/10.3102/00346543221148478
Hattie, J. (2015). The applicability of visible learning to higher education. Scholarship of Teaching and Learning in Psychology, 1(1), 79–91. https://doi.org/10.1037/stl0000021
Helmreich, R. (1975). Applied social psychology: The unfulfilled promise. Personality and Social Psychology Bulletin, 1(4), 548–560. https://doi.org/10.1177/014616727500100402
Hofweber, T. (2011). Logic and ontology. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy (Fall 2014 ed.). Stanford, CA: Stanford University. Retrieved from http://plato.stanford.edu/archives/fall2014/entries/logic-ontology/.
Lodewyk, K. R., Winne, P. H., & Jamieson-Noel, D. L. (2009). Implications of task structure on self-regulated learning and achievement. Educational Psychology, 29(1), 1–25.
Marton, F., & Säljö, R. (1976a). On qualitative differences in learning: I. Outcome and process. British Journal of Educational Psychology, 46(1), 4–11. https://doi.org/10.1111/j.2044-8279.1976.tb02980.x
Marton, F., & Säljö, R. (1976b). On qualitative differences in learning—II outcome as a function of the learner’s conception of the task. British Journal of Educational Psychology, 46, 115–127. https://doi.org/10.1111/j.2044-8279.1976.tb02304.x
Marton, F., & Säljö, R. (1984). Approaches to learning. In F. Marton, D. J. Hounsell, & N. J. Entwistle (Eds.), The experience of learning (pp. 36–55). Scottish Academic Press.
McCombs, B. L. (1986). The role of the self-system in self-regulated learning. Contemporary Educational Psychology, 11(4), 314–332. https://doi.org/10.1016/0361-476X(86)90028-7
McCrudden, M. T., Magliano, J. P., & Schraw, G. (2010). Exploring how relevance instructions affect personal reading intentions, reading goals and text processing: A mixed methods study. Contemporary Educational Psychology, 35(4), 229–241. https://doi.org/10.1016/j.cedpsych.2009.12.001
Meyer, G. (1934). An experimental study of the old and new types of examination: I The effect of the examination set on memory. Journal of Educational Psychology, 25(9), 641–661. https://doi.org/10.1037/h0073102
Meyer, G. (1935). An experimental study of the old and new types of examination: II. Methods of study. Journal of Educational Psychology, 26(1): 30–40. https://doi.org/10.1037/h0050853
Neisser, U. (1967). Cognitive psychology. Appleton-Century-Crofts.
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 422. https://doi.org/10.3389/fpsyg.2017.00422
Pressley, M., Borkwski, J. G., & Schneider, W. (1989). Good information processing: What it is and how education can promote it. International Journal of Educational Research, 13(8), 857–867. https://doi.org/10.1016/0883-0355(89)90069-4
Ramsden, P. (1979). Student learning and perceptions of the academic environment. Higher Education, 8(4), 411–427. https://doi.org/10.1007/BF01680529
Ramsden, P., & Entwistle, N. J. (1981). Effects of academic departments on students’ approaches to studying. British Journal of Educational Psychology, 51(3), 368–383. https://doi.org/10.1111/j.2044-8279.1981.tb02493.x
Richardson, J. T. E. (1994). Cultural specificity of approaches to studying in higher education: A literature survey. Higher Education, 27, 449–468. https://doi.org/10.1007/BF01384904
Richardson, J. T. E. (2015). Approaches to learning or levels of processing: What did Marton and Säljö (1976a) really say? The Legacy of the Work of the Göteborg Group in the 1970s. Interchange, 1–31. https://doi.org/10.1007/s10780-015-9251-9
Schiefele, U. (1999). Interest and learning from text. Scientific Studies of Reading, 3(3), 257–279.
Simon, H. A. (1978). Information-processing theory of human problem solving. In W. K. Estes (Ed.), Handbook of learning and cognitive processes (pp. 271–295). Erlbaum.
Steup, M. (2014). Epistemology. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy (Spring 2014 ed.). Stanford, CA: Stanford University. Retrieved from http://plato.stanford.edu/archives/spr2014/entries/epistemology/.
Terry, P. W. (1933). How students review for objective and essay tests. The Elementary School Journal, 33(8), 592–603. https://doi.org/10.1086/456929
Tracey, D. H., & Morrow, L. M. (2017). Lenses on reading: An introduction to theories and models. Guilford Publications.
Treisman, A. M. (1964). Selective attention in man. British Medical Bulletin, 20, 12–16.
Treisman, A. M. (1969). Strategies and models of selective attention. Psychological Review, 76(3), 282–299. https://doi.org/10.1037/h0027242
Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. Graesser (Eds.), Metacognition in educational theory and practice (pp. 277–304). Erlbaum.
Zimmerman, B. J., & Schunk, D. H. (2001). Reflections on theories of self-regulated learning and academic achievement. In B. Zimmerman, & D. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed., pp. 289–307). Lawrence Erlbaum Associates.
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Dinsmore, D.L., Fryer, L.K. & Dumas, D.G. A Theoretical and Metatheoretical Reframing of the Development of Cognitive Processing and Learning. Educ Psychol Rev 35, 66 (2023). https://doi.org/10.1007/s10648-023-09789-3
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DOI: https://doi.org/10.1007/s10648-023-09789-3