Skip to main content

Metacognitive Knowledge About and Metacognitive Regulation of Strategy Use in Self-Regulated Scientific Discovery Learning: New Methods of Assessment in Computer-Based Learning Environments

  • Chapter
  • First Online:
International Handbook of Metacognition and Learning Technologies

Abstract

The aim of this chapter is to present new assessment methods for different aspects of metacognition that are relevant for self-regulated learning (SRL). In the theoretical part, two assumptions on the assessment of different aspects of metacognition are presented. Firstly, we argue that metacognitive knowledge about strategies and metacognitive regulation of strategies are two distinct components of metacognition that make different demands on their respective assessment method. Secondly, we argue that metacognitive knowledge about and metacognitive regulation of strategy use should be assessed with regard to the same strategies, in order to be able to relate both measures and to localize specific deficiencies. In the methods part, the theoretically driven development of two computer-based learning environments (CBLEs) for scientific discovery learning is presented. Based on these, two kinds of assessment methods are presented, a test format that intends to assess metacognitive knowledge about scientific discovery strategies and logfile-based measures that intend to assess metacognitive regulation of the use of these strategies during SRL with the CBLEs. In the empirical part, three studies are presented that investigated the test quality of these new assessment methods as well as the relationship between metacognitive knowledge about and metacognitive regulation of the same strategy. In sum, results speak in favor of a good test quality of the new assessment methods. Based on this, results revealed that the relationship between metacognitive knowledge about and metacognitive regulation of the actual use of the same strategy is moderated by current motivation. Finally, results are discussed with respect to the development of further instruments as well as with respect to approaches of SRL support.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Anderson, J. R. (1983). The architecture of cognition. Cambridge: Harvard University Press.

    Google Scholar 

  • Artelt, C., Demmrich, A., & Baumert, J. (2001). Selbstreguliertes Lernen. [Self-regulated learning.]. In J. Baumert, E. Klieme, M. Neubrand, M. Prenzel, U. Schiefele, W. Schneider, P. Stanat, K.-J. Tillmann, & M. Weiß (Eds.), PISA 2000. Basiskompetenzen von Schülerinnen und Schülern im internationalen Vergleich [PISA 2000. School students’ basic competencies in the international comparison] (pp. 271–298). Opladen: Leske & Budrich.

    Google Scholar 

  • Azevedo, R., Cromley, J. G., & Seibert, D. (2004). Does adaptive scaffolding facilitate students’ ability to regulate their learning with hypermedia? Contemporary Educational Psychology, 29, 344–370.

    Article  Google Scholar 

  • Azevedo, R., Moos, D. C., Johnson, A. M., & Chauncey, A. D. (2010). Measuring cognitive and metacognitive regulatory processes during hypermedia learning: Issues and challenges. Educational Psychologist, 45, 210–223.

    Article  Google Scholar 

  • Bannert, M., & Mengelkamp, C. (2008). Assessment of metacognitive skills by means of instruction to think aloud and reflect when prompted. Does the verbalisation method affect learning? Metacognition & Learning, 3, 39–58.

    Article  Google Scholar 

  • Boekaerts, M. (1997). Self-regulated learning: a new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7, 161–186.

    Google Scholar 

  • Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 65–116). Hillsdale, New Jersey: Lawrence Erlbaum Associates.

    Google Scholar 

  • Chi, M. T. H., De Leeuw, N., Chiu, M.-H., & LaVancher, C. (1994). Eliciting self-explanations improves understanding. Cognitive Science, 18, 439–477.

    Google Scholar 

  • Cromley, J. G., & Azevedo, R. (2006). Self-report of reading comprehension strategies: What are we measuring? Metacognition & Learning, 1, 229–247.

    Article  Google Scholar 

  • Davis, E. A. (2003). Prompting middle school science students for productive reflection: Generic and directed prompts. The Journal of the Learning Sciences, 12, 91–142.

    Article  Google Scholar 

  • De Jong, T., & van Joolingen, W. R. (1998). Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research, 68, 179–201.

    Article  Google Scholar 

  • Flavell, J. H. (1979). Metacognition and cognitive monitoring. A new area of cognitive-developmental inquiry. American Psychologist, 34, 906–911.

    Article  Google Scholar 

  • 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, 245–257.

    Article  Google Scholar 

  • Hadwin, A. F., Nesbit, J. C., Code, J., Jamieson-Noel, D. L., & Winne, P. H. (2007). Examining trace data to explore self-regulated learning. Metacognition & Learning, 2, 107–124.

    Article  Google Scholar 

  • Klahr, D., & Dunbar, K. (1988). Dual space search during scientific reasoning. Cognitive Science, 12, 1–48.

    Article  Google Scholar 

  • Körkel, J., & Schneider, W. (1992). Domain-specific versus metacognitive knowledge effects on text recall and comprehension. In M. Carretero, M. Pope, R.-J. Simons, & J. I. Pozo (Eds.), Learning and instruction—European research in an international context (pp. 311–323). Oxford: Pergamon Press.

    Google Scholar 

  • Kuhn, D., Black, J., Keselman, A., & Kaplan, D. (2000). The development of cognitive skills to support inquiry learning. Cognition and Instruction, 18, 495–523.

    Article  Google Scholar 

  • Njoo, M., & De Jong, T. (1993). Exploratory learning with a computer simulation for control theory: Learning processes and instructional support. Journal of Research in Science Teaching, 30, 821–844.

    Article  Google Scholar 

  • Paris, S. G., Lipson, M. Y., & Wixson, K. K. (1983). Becoming a strategic reader. Contemporary Educational Psychologist, 8, 293–316.

    Article  Google Scholar 

  • Perry, N. E., & Winne, P. H. (2006). Learning from ­learning kits: gStudy traces of students’ self-regulated engagements with computerized content. Educational Psychology Review, 18, 211–228.

    Article  Google Scholar 

  • Pressley, M. (1995). What is intellectual development about in the 1990s? Good information processing. In F. E. Weinert & W. Schneider (Eds.), Memory performance competencies. Issues in growth and development (pp. 375–404). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Pressley, M., Borkowski, J. G., & Schneider, W. (1987). Cognitive strategies: Good strategy users coordinate metacognition and knowledge. In R. Vasta & G. Whilehurst (Eds.), Annals of child development (Vol. 4, pp. 80–129). Greenwich, CT: JAI Press.

    Google Scholar 

  • Ramm, G., Prenzel, M., Baumert, J., Blum, W., Lehmann, R., & Leutner, D. (Eds.). (2006). PISA 2003: Dokumentation der Erhebungsinstrumente. [PISA 2003: Documentation of the assessment instruments]. Münster: Waxmann.

    Google Scholar 

  • Rheinberg, R., Vollmeyer, R., & Burns, B.D. (2001). FAM: Ein Fragebogen zur Erfassung aktueller Motivation in Lern- und Leistungssituationen [QCM: A questionnaire to assess current motivation in learning situations]. Diagnostica, 47, 57–66.

    Google Scholar 

  • Schlagmüller, M., & Schneider, W. (2007). Würzburger Lesestrategiewissenstest für die Klassen 7-12 (WLST 7-12). [Wuerzburger reading strategy knowledge test for classes 7-12]. In M. Hasselhorn, H. Marx, & W. Schneider (Eds.), Deutsche Schultests. [German school tests]. Göttingen: Hogrefe.

    Google Scholar 

  • Schneider, W., Körkel, J., & Weinert, F. E. (1987). The effects of intelligence, self-concept, and attributional style on metamemory and memory behaviour. International Journal of Behavioral Development, 3, 281–299.

    Article  Google Scholar 

  • Schneider, W., Schlagmüller, M., & Visé, M. (1998). The impact of metamemory and domain-specific knowledge on memory performance. European Journal of Psychology of Education, 13, 91–103.

    Article  Google Scholar 

  • Spörer, N., & Brunstein, J. C. (2006). Erfassung selbstregulierten Lernens mit Selbstberichtsverfahren [Assessing self-regulated learning with self-report methods]. Zeitschrift für Pädagogische Psychologie, 20, 147–160.

    Article  Google Scholar 

  • Thillmann, H., Künsting, J., Wirth, J., & Leutner, D. (2009). Is it merely a question of “what” to prompt or also “when” to prompt? The role of point of presentation time in self-regulated learning. Zeitschrift für Pädagogische Psychologie, 23, 105–115.

    Article  Google Scholar 

  • Van Joolingen, W. R., & de Jong, T. (1993). Exploring a domain with a computer simulation: Traversing variable and relation space with the help of a hypothesis scratchpad. In D. Towne, T. de Jong, & H. Spada (Eds.), Simulation-based experiential learning (pp. 191–206). Berlin, Germany: Springer.

    Chapter  Google Scholar 

  • Veenman, M. V. J. (2005). The assessment of metacognitive skills: What can be learned from multi-method designs? In B. Moschner & C. Artelt (Eds.), Lernstrategien und Metakognition: Implikationen für Forschung und Praxis [Learning strategies and metacognition: Implications for research and practice] (pp. 77–99). Berlin: Waxmann.

    Google Scholar 

  • Veenman, M. V. J., van Hout-Wolters, B. H. A. M., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition & Learning, 1, 3–14.

    Article  Google Scholar 

  • Vollmeyer, R., & Rheinberg, F. (2000). Does motivation affect performance via persistence? Learning and Instruction, 10, 293–309.

    Article  Google Scholar 

  • Wichmann, A., & Leutner, D. (2009). Inquiry learning: Multilevel support with respect to inquiry, explanations and regulation during an inquiry circle. German Journal of Educational Psychology, 23, 117–127.

    Google Scholar 

  • Winne, P. H. (1996). A metacognitive view of individual differences in self-regulated learning. Learning and Individual Differences, 8, 327–353.

    Google Scholar 

  • Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in education theory and practice (pp. 277–304). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Winne, P. H., & Jamieson-Noel, D. (2002). Exploring students’ calibration of self reports about study tactics and achievement. Contemporary Educational Psychology, 27, 551–572.

    Article  Google Scholar 

  • Winne, P. H., & Perry, N. E. (2000). Measuring self-­regulated learning. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 531–566). Orlando, FL: Academic.

    Chapter  Google Scholar 

  • Wirth, J. (2008). Computer-based tests: Alternatives for test and item design. In J. Hartig, E. Klieme, & D. Leutner (Eds.), Assessment of competencies in educational contexts (pp. 235–252). Göttingen: Hogrefe.

    Google Scholar 

  • Wirth, J., & Leutner, D. (2006). Selbstregulation beim Lernen in interaktiven Lernumgebungen [Self-regulation of learning in interactive learning environments]. In H. Mandl & H. F. Friedrich (Eds.), Handbuch Lernstrategien [Handbook learning strategies] (pp. 172–184). Göttingen: Hogrefe.

    Article  Google Scholar 

  • Wolters, C. A. (2003). Regulation of motivation: Evaluating an underemphasized aspect of self-regulated learning. Educational Psychologist, 38, 189–205.

    Article  Google Scholar 

  • Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-­regulation (pp. 13–39). San Diego: Academic.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hubertina Thillmann Ph.D. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Thillmann, H., Gößling, J., Marschner, J., Wirth, J., Leutner, D. (2013). Metacognitive Knowledge About and Metacognitive Regulation of Strategy Use in Self-Regulated Scientific Discovery Learning: New Methods of Assessment in Computer-Based Learning Environments. 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_37

Download citation

Publish with us

Policies and ethics