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.
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References
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.
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.
Bråten, I., & Strømsø, H. I. (2004). Epistemological beliefs and implicit theories of intelligence as predictors of achievement goals. Contemporary Educational Psychology, 29, 371–388.
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.
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.
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.
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.
Elby, A., & Hammer, D. (2001). On the substance of a sophisticated epistemology. Science Education, 85(5), 554–567.
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.
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.
Hofer, B. K., & Pintrich, P. R. (2002). Personal epistemology. The psychology of beliefs about knowledge and knowing. Mahwah, NJ: Erlbaum.
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.
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.
Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York, NY: Cambridge University Press.
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.
Mason, L., & Scirica, F. (2006). Prediction of students’ argumentation skills about controversial topics by epistemological understanding. Learning and Instruction, 16(5), 492–509.
McEneaney, J. E. (2001). Graphic and numerical methods to assess navigation in hypertext. International Journal of Human-Computer Studies, 55, 761–786.
Muis, K. R. (2007). The role of epistemic beliefs in self-regulated learning. Educational Psychologist, 42(3), 173–190.
Murray, T. (2003). MetaLinks: Authoring and affordances for conceptual and narrative flow in adaptive hyperbooks. Journal of Artificial Intelligence in Education, 13, 199–233.
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.
Pieschl, S. (2009). Metacognitive calibration - an extended conceptualization and potential applications. Metacognition and Learning, 4(1), 3–31.
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.
Pieschl, S., Stahl, E., & Bromme, R. (2008). Epistemological beliefs and self-regulated learning with hypertext. Metacognition and Learning, 1, 17–37.
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.
Pressley, M., & Ghatala, E. S. (1988). Delusions about performance on multiple-choice comprehension tests. Reading Research Quarterly, 24(4), 454–464.
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.
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.
Salmerón, L., Kintsch, W., & Canas, J. (2006). Reading strategies and prior knowledge in learning from hypertext. Memory & Cognition, 34(5), 1157–1171.
Stahl, E., & Bromme, R. (2007). The CAEB: An instrument for measuring connotative aspects of epistemological beliefs. Learning and Instruction, 17(6), 773–785.
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.
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.
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.
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.
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.
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.
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.
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Pieschl, S., Stahl, E., Bromme, R. (2013). Adaptation to Context as Core Component of Self-Regulated Learning: The Example of Complexity and Epistemic Beliefs. In: Azevedo, R., Aleven, V. (eds) International Handbook of Metacognition and Learning Technologies. Springer International Handbooks of Education, vol 28. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5546-3_4
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