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Adaptation to Context as Core Component of Self-Regulated Learning: The Example of Complexity and Epistemic Beliefs

  • Stephanie Pieschl
  • Elmar Stahl
  • Rainer Bromme
Chapter
Part of the Springer International Handbooks of Education book series (SIHE, volume 28)

Abstract

In this chapter we raise two important issues regarding the metacognitive self-regulation of learning with technologies: First, adaptation to the external context is a core component of self-regulated learning. Empirical research regarding task complexity and text complexity – two exemplary external conditions – shows that learners systematically adapt their whole self-regulated learning process within a hypermedia learning environment to these contextual conditions. Therefore, careful construction and evaluation of learning tasks and learning content is warranted. In this context communicating and teaching the demands of complex learning scenarios deserves special attention. Second, learner characteristics play an important role in self-regulated learning and adaptation. Empirical research regarding epistemic beliefs – one exemplary learner characteristic – shows that learners with absolutistic beliefs will plan and execute different learning processes than those with sophisticated beliefs; these differences are especially pronounced under conditions of high complexity. Given the general superiority of the learning and adaptation processes of more sophisticated learners such beliefs should be a learning goal of their own and should be explicitly addressed in learning scenarios.

Keywords

Task Complexity Learning Content Epistemic Belief Text Complexity Metacognitive Awareness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., et al. (2001). A taxonomy for learning, teaching, and assessing. A revision of Bloom’s taxonomy of educational objectives. New York: Longman.Google Scholar
  2. Bartholomé, T., Stahl, E., Pieschl, S., & Bromme, R. (2006). What matters in help-seeking? A study of help effectiveness and learner-related factors. Computers in Human Behavior, 22, 113–129.CrossRefGoogle Scholar
  3. Bråten, I., & Strømsø, H. I. (2004). Epistemological beliefs and implicit theories of intelligence as predictors of achievement goals. Contemporary Educational Psychology, 29, 371–388.CrossRefGoogle Scholar
  4. Bromme, R. (2005). Thinking and knowing about knowledge: A plea for and critical remarks on psychological research programs on epistemological beliefs. In M. Hoffman, J. Lenhard, & F. Seeger (Eds.), Activity and sign - Grounding mathematics education (pp. 191–201). New York: Springer.CrossRefGoogle Scholar
  5. Bromme, R., Kienhues, D., & Stahl, E. (2008). Knowledge and epistemological beliefs: An intimate but complicate relationship. In M. S. Khine (Ed.), Knowing, knowledge, and beliefs: Epistemological studies across diverse cultures (pp. 423–444). New York: Springer.CrossRefGoogle Scholar
  6. Bromme, R., Pieschl, S., & Stahl, E. (2010). Episte-mological beliefs are standards for adaptive learning: A functional theory about epistemological beliefs and metacognition. Metacognition and Learn­ing, 5(1), 7–26.CrossRefGoogle Scholar
  7. Cano, F. (2005). Epistemological beliefs and approaches to learning: Their change through secondary school and their influence on academic performance. British Journal of Educational Psychology, 75, 203–221.CrossRefGoogle Scholar
  8. Elby, A., & Hammer, D. (2001). On the substance of a sophisticated epistemology. Science Education, 85(5), 554–567.CrossRefGoogle Scholar
  9. Gall, J. (2006). Orienting tasks and their impact on learning and attitudes in the use of hypertext. Journal of Educational Multimedia and Hypermedia, 15(1), 5–29.Google Scholar
  10. Greene, J. A., Muis, K. R., & Pieschl, S. (2010). The role of epistemic beliefs in students’ self-regulated learning with computer-based learning environments: Conceptual and methodological issues. Educational Psychologist, 45(4), 245–257.CrossRefGoogle Scholar
  11. Hofer, B. K., & Pintrich, P. R. (2002). Personal epistemology. The psychology of beliefs about knowledge and knowing. Mahwah, NJ: Erlbaum.Google Scholar
  12. Jamieson-Noel, D., & Winne, P. H. (2003). Comparing self-reports to traces of studying behavior as representations of students’ studying and achievement. Zeitschrift für Pädagogische Psychologie, 17(3/4), 159–171.CrossRefGoogle Scholar
  13. Kardash, C. M., & Howell, K. L. (2000). Effects of ­epistemological beliefs and topic-specific beliefs on undergraduates’ cognitive and strategic processing of dual-positional text. Journal of Educational Psychology, 92(3), 524–535.CrossRefGoogle Scholar
  14. Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York, NY: Cambridge University Press.Google Scholar
  15. Langer, I., Schulz von Thun, F., & Tausch, R. (1990). Sich verständlich ausdrücken - Anleitungstexte, Unterri­chtstexte, Vertragstexte, Amtstexte, Versicherungstexte, Wissenschaftstexte, u.a. [To express oneself comprehensible—instructional texts, bureaucratic texts, etc.] (4th ed.). München: Ernst Reinhard, GmbH & Co, Verlag.Google Scholar
  16. Mason, L., & Scirica, F. (2006). Prediction of students’ argumentation skills about controversial topics by epistemological understanding. Learning and Instruc­tion, 16(5), 492–509.CrossRefGoogle Scholar
  17. McEneaney, J. E. (2001). Graphic and numerical methods to assess navigation in hypertext. International Journal of Human-Computer Studies, 55, 761–786.CrossRefGoogle Scholar
  18. Muis, K. R. (2007). The role of epistemic beliefs in self-regulated learning. Educational Psychologist, 42(3), 173–190.CrossRefGoogle Scholar
  19. Murray, T. (2003). MetaLinks: Authoring and affordances for conceptual and narrative flow in adaptive hyperbooks. Journal of Artificial Intelligence in Education, 13, 199–233.Google Scholar
  20. Pieschl, S. (2008). To calibrate or not to calibrate? Conditions and processes of metacognitive calibration during hypermedia learning. URN: urn:nbn:de:hbz:6–14569461694. http://nbn-resolving.de/urn:nbn:de:hbz:6–14569461694. Accessed on 10 June 2011.
  21. Pieschl, S. (2009). Metacognitive calibration - an extended conceptualization and potential applications. Metacognition and Learning, 4(1), 3–31.CrossRefGoogle Scholar
  22. Pieschl, S., Bromme, R., Porsch, T., & Stahl, E. (2008). Epistemological sensitisation causes deeper elaboration during self-regulated learning. International perspectives in the learning sciences: Cre8ting a learning world. Proceedings of the Eighth Inter­national Conference for the Learning Sciences - ICLS 2008 (Vol. 2, pp. 213–220). London: Lulu Enterprises.Google Scholar
  23. Pieschl, S., Stahl, E., & Bromme, R. (2008). Epistemological beliefs and self-regulated learning with hypertext. Metacognition and Learning, 1, 17–37.CrossRefGoogle Scholar
  24. Pieschl, S., Stahl, E., Murray, T., & Bromme, R. (2012). Is adaptation to task complexity really beneficial for performance? Learning and Instruction, 22, 281–289. doi:10.1016/j.learninstruc.2011.08.005.CrossRefGoogle Scholar
  25. Pressley, M., & Ghatala, E. S. (1988). Delusions about performance on multiple-choice comprehension tests. Reading Research Quarterly, 24(4), 454–464.CrossRefGoogle Scholar
  26. Richter, T., Naumann, J., & Noller, S. (2003). LOGPAT: A semi-automatic way to analyze hypertext navigation behavior. Swiss Journal of Psychology, 62(2), 113–120.CrossRefGoogle Scholar
  27. Rouet, J.-F. (2003). What was I looking for? The influence of task specificity and prior knowledge on students’ search strategies in hypertext. Interacting with Computers, 15, 409–428.CrossRefGoogle Scholar
  28. Salmerón, L., Kintsch, W., & Canas, J. (2006). Reading strategies and prior knowledge in learning from hypertext. Memory & Cognition, 34(5), 1157–1171.CrossRefGoogle Scholar
  29. Stahl, E., & Bromme, R. (2007). The CAEB: An instrument for measuring connotative aspects of epistemological beliefs. Learning and Instruction, 17(6), 773–785.CrossRefGoogle Scholar
  30. Stahl, E., Pieschl, S., & Bromme, R. (2006). Task complexity, epistemological beliefs and metacognitive calibration: An exploratory study. Journal of Educational Computing Research, 35(4), 319–338.CrossRefGoogle Scholar
  31. Stallmann, F. (2007). The influence of epistemological beliefs and academic self-concept on metacognitive calibration in German 12th graders. Unpublished diploma thesis, University of Muenster, Muenster, Germany.Google Scholar
  32. Veenman, M., & Beishuizen, J. (2004). Intellectual and metacognitive skills of novices while studying texts under conditions of text difficulty and time constraints. Learning and Instruction, 14(6), 621–640.CrossRefGoogle Scholar
  33. Veenman, M., & Elshout, J. J. (1999). Changes in the relationship between cognitive and metacognitive skills during the acquisition of expertise. European Journal of Psychology of Education, 15(4), 509–523.CrossRefGoogle Scholar
  34. Weaver, C. A., & Bryant, D. S. (1995). Monitoring of comprehension: The role of text difficulty in metamemory for narrative and expository text. Memory & Cognition, 23(1), 12–22.CrossRefGoogle Scholar
  35. Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 277–304). Mahwah, NJ: Erlbaum.Google Scholar
  36. Winne, P. H., Jamieson-Noel, D., & Muis, K. R. (2002). Methodological issues and advances in researching tactics, strategies, and self-regulated learning. In P. R. Pintrich & M. L. Maehr (Eds.), New directions in measures and methods (pp. 121–155). Oxford, UK: Elsevier Sciences.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Westfälische Wilhelms-Universität MünsterMuensterGermany
  2. 2.University of EducationFreiburgGermany

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