Skip to main content
Log in

The effects of IMPROVE on mathematical knowledge, mathematical reasoning and meta-cognition

  • Empirical Study
  • Published:
Metacognition and Learning Aims and scope Submit manuscript

Abstract

The purpose of the present study is to examine the effects of IMPROVE, a meta-cognitive instructional method, on students' mathematical knowledge, mathematical reasoning and meta-cognition. Participants were 81 students who studied a pre-college course in mathematical. Students were randomly assigned into one of two groups and groups were randomly assigned into one of two conditions: IMPROVE vs. traditional instruction (the control group). Both groups were exposed to the same learning materials, solved exactly the same mathematical problems, and were taught by the same experienced teacher. The IMPROVE students were explicitly trained to activate meta-cognitive processes during the solution of mathematical problems. The control group was exposed to traditional instruction with no explicit exposure to meta-cognitive training. Results indicate that the IMPROVE students significantly outperformed their counterparts on both mathematical knowledge and mathematical reasoning. In addition, the IMPORVE students attained significantly higher scores then the control group on the three measures of meta-cognition: (a) general knowledge of cognition; (b) regulation of general cognition; and (c) domain-specific meta-cognitive knowledge. The theoretical and practical implications are discussed.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Flavell, J. H. (1979). Meta-cognitive and cognitive monitoring: A new area of cognitive developmental inquiry. American Psychologist, 31, 906–911.

    Google Scholar 

  • Kramarski, B., & Mevarech, Z. R. (2003). Enhancing mathematical reasoning in the classroom: The effects of cooperative learning and meta-cognitive training. American Educational Research Journal, 40, 281–310.

    Google Scholar 

  • Kramarski, B., Mevarech, Z. R., & Arami, M. (2002). The effects of meta-cognitive training on solving mathematical authentic tasks. Educational Studies in Mathematics, 49, 225–250.

    Article  Google Scholar 

  • Mevarech, Z. R. (1999). Effects of meta-cognitive training embedded in cooperative settings on mathematical problem solving. The Journal of Educational Research, 92, 195–205.

    Google Scholar 

  • Mevarech, Z. R. & Kramarski, B. (1997). IMPROVE: A multidimentional method for teaching mathematics in heterogeneous classrooms. American Educational Research Journal, 34, 365–394.

    Google Scholar 

  • Mevarech, Z. R., & Kramarski, B. (2003). The effects of worked-out examples vs. meta-cognitive training on students' mathematical reasoning. British Journal of Educational Psychology, 73, 449–471.

    Article  Google Scholar 

  • Mevarech, Z.R., Tabuk, A., & Sinai, O. (accepted for publication). Metacognitive instruction in mathematics classrooms: Effects on the solution of different kinds of problems.

  • Monatgue, M., & Bos, C. S. (1990). Cognitive and meta-cognitive characteristics of eighth-grade students' mathematical problem solving. Learning and Individual Differences, 2, 371–388.

    Article  Google Scholar 

  • Mullis, I. V. S., Martin, M. O., Gozalez, E. J., Gregory, K. D., Gaden, R. A., O'Conner, K. M. , Chrostowski, S. J., & Smith, T. A. (2000). TIMSS: International Mathematics Report. Findings form IEA's repeat of the Third International Mathematics and Science Study at Eighth Grade. Boston College.

  • National Council of Teachers of Mathematics (NCTM) (2000). Principles and standards for school mathematics. Reston, VA.

  • PISA (2003). Literacy skills for the world of tomorrow: Further results from PISA 2000. OECD. Paris.

  • Polya, G. (1957). How to solve it? 2nd ed. NJ: Princeton University Press.

    Google Scholar 

  • Schoenfefld, A. H. (1985). Mathematical problem solving. San Diego, CA: Academic Press.

    Google Scholar 

  • Schraw, G. & Dennison, R. S. (1994). Assessing meta-cognitive awareness. Contemporary Educational Psychology, 19, 460–475.

    Google Scholar 

  • Zion, M., Michalski, T., & Mevarech, Z. R. (2005). The effects of meta-cognitive instruction embedded within asynchronous learning network on scientific inquiry skills. International Journal of Science Education, 27, 957–983.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zemira Mevarech.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mevarech, Z., Fridkin, S. The effects of IMPROVE on mathematical knowledge, mathematical reasoning and meta-cognition. Metacognition Learning 1, 85–97 (2006). https://doi.org/10.1007/s11409-006-6584-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11409-006-6584-x

Keywords

Navigation