Skip to main content

Does the Quality of the Application of Learning Strategies Foster Text Comprehension? A Reanalysis of Video Data

  • Chapter
  • 446 Accesses

Abstract

Learning strategies are commonly regarded as discrete cognitive or behavioral activities (more or less) intentionally employed by a learner in a particular learning situation in order to overcome a local problem that has emerged in this situation. Strategy application implies self-regulation (i.e., having options available and being able to control one’s own learning; Schunk & Ertmer, 2000: 632). Learning strategies are deemed meaningful for successful learning, especially in self-regulated learning environments. Usually, it is expected that good strategic learners will better facilitate their learning processes and learning results than weak strategists (Schrader, Helmke, Wagner, Nold, & Schröder, 2008; Zimmerman, 2000). This assumption is very plausible. Nevertheless, evidence to corroborate the relevance of strategies has been so far only partly provided by empirical investigations. In particular, a great deal of correlational field studies have yielded no, or only weak, correlations between strategy use and measures of achievement.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bagozzi, R. P. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment. Journal of Marketing Research, 18, 375–381.

    Google Scholar 

  • Dent, A., Cooper, H., & Koenka, A. (2012). A Synthesis of Research on the Relation Between Study Skills and Academic Performance: Paper presented at the 93rd Annual Meeting of the American Educational Research Association. Vancouver, BC, Canada.

    Google Scholar 

  • Dunn, K. E., Lo, W., Mulvenon, S. W., & Sutcliffe, R. (2012). Revisiting the Motivated Strategies for Learning Questionnaire: A Theoretical and Statistical Reevaluation of the Metacognitive Self-Regulation and Effort Regulation Subscales. Educational and Psychological Measurement, 72(2), 312–331.

    Google Scholar 

  • Fan, X., Thompson, B., & Wang, L. (1999). Effects of Sample Size, Education Methods, and Model Specification on Structural Equation Modeling Fit Indexes. Structural Equation Modeling, 6(1), 56–83.

    Google Scholar 

  • Finkbeiner, C., Knierim, M., Smasal, M., & Ludwig, P. H. (2012). Self-Regulated Cooperative EFL Reading Tasks: Students’ Strategy Use and Teachers’ Support. Language Awareness, 21(1–2), 57–84.

    Google Scholar 

  • Geranpayeh, A. (2003). A Quick Review of the English Quick Placement Test. UCLES Research Notes, 12, 8–10.

    Google Scholar 

  • Heller, K. A., & Perleth, C. (2000). Kognitiver Fähigkeitstest für 4. bis 12. Klassen, Revision [Cognitive ability test for grades 4 through 12, revised]. Göttingen, Germany: Beltz.

    Google Scholar 

  • Helmke, A. (1992). Selbstvertrauen und schulische Leistungen [Self-confidence and school performance]. Göttingen, Germany: Hogrefe.

    Google Scholar 

  • Iacobucci, D. (2010). Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics. Journal of Consumer Psychology, 20, 90–98.

    Google Scholar 

  • Kline, R. B. (1998). Principles and Practice of Structural Equation Modeling. New York, NY: The Guilford Press.

    Google Scholar 

  • Labuhn, A., Bögeholz, S., & Hasselhorn, M. (2008). Lernförderung durch Anregung der Selbstregulation im naturwissenschaftlichen Unterricht [Fostering learning through Stimulation of Self-Regulation in Science Lessons]. Zeitschrift für Pädagogische Psychologie, 22(1), 13–24.

    Google Scholar 

  • Landis, J. R., & Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159–174.

    Google Scholar 

  • Lenzner, A., & Dickhäuser, O. (2011). Strategien der Motivationsregulation: Theoretische Überlegungen und empirische Befunde [Strategies of motivational regulation]. In M. Dresel & L. Lämmle (Eds), Motivation, Selbstregulation und Leistungsexzellenz (pp. 1–28). Berlin, Germany: Lit.

    Google Scholar 

  • Leopold, C. (2009). Lernstrategien und Textverstehen [Learning strategies and text comprehension]. Münster, Germany: Waxmann.

    Google Scholar 

  • Leopold, C., den Elzen-Rump, V., & Leutner, D. (2006). Selbstreguliertes Lernen aus Sachtexten [Self-regulated learning from expository texts]. In M. Prenzel & L. Allolio-Näcke (Eds), Untersuchungen zur Bildungsqualität von Schule (pp. 268–288). Münster, Germany: Waxmann.

    Google Scholar 

  • Ludwig P. H., Finkbeiner C., & Knierim M. (in press). Effects of the Adequacy of Learning Strategies in Self-Regulated Learning Settings. A Video-Based Micro-analytical Lab Study. Journal of Cognitive Education and Psychology [Special Issue: “Advances in Research on Self-Regulated Learning”].

    Google Scholar 

  • Muthén, L., & Muthén B. O. (1998–2010). MPlus User’s Guide (6th ed.). Los Angeles, CA: Muthén & Muthén.

    Google Scholar 

  • Nachtigall, C., Kroehne, U., Funke, F., & Steyer, R. (2003). (Why) Should We Use SEM?: Pros and Cons of Structural Equation Modeling. Methods of Psychological Research Online, 8(2), 1–22.

    Google Scholar 

  • Nold, G. (2009). Strategien im Netzwerk von Einflüssen auf den Prozess von Fremdsprachenlernen [Strategies within the Network of Influences on the Process of Foreign Language Learning]. Fremdsprachen lehren und lernen, 38, 38–50.

    Google Scholar 

  • Perels, F., Gürtler, T., & Schmitz, B. (2005). Training of Self-Regulatory and Problem-Solving Competence. Learning and Instruction, 15, 123–139.

    Google Scholar 

  • Pintrich, P. R. (2004). A Conceptual Framework for Assessing Motivation and Self-Regulated Learning in College Students. Educational Psychology Review, 16, 385–407.

    Google Scholar 

  • Pintrich, P. R., & Groot, E. V. de. (1990). Motivational and Self-Regulated Learning Components of Classroom Academic Performance. Journal of Educational Psychology, 82(1), 33–40.

    Google Scholar 

  • Pressley, M., Borkowski, J., & Schneider, W. (1987). Cognitive strategies: Good strategy users coordinate metacognition and knowledge. In R. Vasta (Ed.), Annals of Child Development, Vol. 4 (pp. 89–129). Greenwich, CT: JAI.

    Google Scholar 

  • Schrader, F. W., Helmke, A., Wagner, W., Nold, G., & Schröder, K. (2008). Lernstrategien im Fach Englisch [Learning Strategies in the English domain]. In DESI-Konsortium (Ed.), Unterricht und Kompetenzerwerb in Deutsch und Englisch. Ergebnisse der DESI-Studie (pp. 270–282). Weinheim, Germany: Beltz.

    Google Scholar 

  • Schunk, D. H., & Ertmer, P. (2000). Self-Regulation and Academic Learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds), Handbook of Self-Regulation (pp. 631–649). San Diego, CA: Academic Press.

    Book  Google Scholar 

  • Schütte, M., Wirth, J., & Leutner, D. (2010). Selbstregulationskompetenz beim Lernen aus Sachtexten — Entwicklung und Evaluation eines Kompetenzstrukturmodells [Self-regulatory competence in learning from texts — development and evaluation of a competence structure model]. Zeitschrift für Pädagogik, 56. Beiheft, 249–257.

    Google Scholar 

  • Sivo, S. A., Fan, X., Witta E. Lea, & Willse, J. T. (2006). The Search for “Optimal” Cutoff Properties: Fit Index Criteria in Structural Equation Modeling. Journal of Experimental Education, 74(3), 267–288.

    Google Scholar 

  • Wirth, J., & Leutner, D. (2008). Self-Regulated Learning as a Competence: Implications of Theoretical Models for Assessment Methods. Journal of Psychology, 216(2), 102–110.

    Google Scholar 

  • Zimmerman, B. (2000). Attaining Self-Regulation. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds), Handbook of Self-Regulation (pp. 13–39). San Diego, CA: Academic Press.

    Book  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Copyright information

© 2015 Christoph Schneider, Christian Weber and Peter H. Ludwig

About this chapter

Cite this chapter

Schneider, C., Weber, C., Ludwig, P.H. (2015). Does the Quality of the Application of Learning Strategies Foster Text Comprehension? A Reanalysis of Video Data. In: Schnotz, W., Kauertz, A., Ludwig, H., Müller, A., Pretsch, J. (eds) Multidisciplinary Research on Teaching and Learning. Palgrave Macmillan, London. https://doi.org/10.1057/9781137467744_4

Download citation

Publish with us

Policies and ethics