Skip to main content

Advertisement

Log in

Teachers’ beliefs about students’ transfer of learning

  • Published:
Journal of Mathematics Teacher Education Aims and scope Submit manuscript

Abstract

The idea that formal learning generalizes, or is transferred, beyond the conditions of initial learning serves as a basis for our educational system. That is, educators hope students will use the learning that develops in the classroom to productively reason about situations they have yet to encounter. Researchers in psychology and mathematics education have been conducting systematic investigations of students’ transfer of learning since the beginning of the twentieth century. However, we still do not know how teachers, the people typically tasked with creating the classroom contexts within which student learning is fostered, think about this phenomenon. This study, thus, addressed the following question: What are teachers’ beliefs about students’ transfer of learning? In the present study, I interviewed 8 practicing teachers twice using instructional tasks related to slope and identified 6 categories of beliefs they exhibited about students’ transfer of learning. These categories extend current conceptualizations of transfer into the domain of mathematics education, represent beliefs that have yet to be articulated by transfer researchers, and provide a foundation on which mathematics teacher educators can begin to think about how to effectively support teachers in developing students who can make productive use of their classroom learning.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Notes

  1. During the initial observations described on the next page, both verbal statements (e.g., “I want students to know how to transfer their knowledge and problem solve in the real world”) and enacted practices (e.g., Asking students, “Where might you use this in your life?”) were taken as indications that teachers concerned themselves with transfer.

  2. I use pseudonyms for all participants in this study.

  3. As part of a larger study, a subset of the teacher participants were observed carrying out their lesson plans. The results of the analyses of those data are not presented here.

  4. Additional details regarding the nature of the relationship between the teachers’ beliefs about transfer and their MKT (Silverman and Thompson 2008) can be found in Diamond (2013)

  5. Teachers’ beliefs are not rank ordered. Thus, teachers’ second belief is no less important or strongly held than their first belief.

References

  • Anderson, J. R. (1996). ACT: A simple theory of complex cognition. American Psychologist, 51, 355–365.

    Article  Google Scholar 

  • Australian Curriculum. (n.d.). Retrieved from: https://www.australiancurriculum.edu.au/.

  • Bassok, M., & Holyoak, K. J. (1989). Interdomain transfer between isomorphic topics in algebra and physics. Journal of Experimental Psychology. Learning, Memory, and Cognition, 15, 153–166. https://doi.org/10.1037/0278-7393.15.1.153.

    Article  Google Scholar 

  • Beach, K. (1999). Consequential transitions: A sociocultural expedition beyond transfer in education. In A. Iran-Nejad & P. D. Pearson (Eds.), Review of research in education (Vol. 24, pp. 101–140). Washington, DC: American Educational Research Association.

    Google Scholar 

  • Bereiter, C. (1995). A dispositional view of transfer. In A. McKeough, J. Lupart, & A. Marini (Eds.), Teaching for transfer: Fostering generalization in learning (pp. 21–34). Mahwah: Erlbaum.

    Google Scholar 

  • Bransford, J. D., & Schwartz, D. L. (1999). Rethinking transfer: A simple proposal with multiple implications. In A. Iran-Nejad & P. D. Pearson (Eds.), Review of research in education (Vol. 24, pp. 61–100). Washington, DC: American Educational Research Association.

    Google Scholar 

  • Broekmann, I. (1998). The Ratlor Effect. Unpublished short paper presented at the 22nd conference of the International Group for the Psychology of Mathematics Education. University of Stellenbosch, Stellenbosch.

  • Clement, J. (2000). Analysis of clinical interviews: Foundations and model viability. In A. E. Kelly & R. Lesh (Eds.), Handbook of research design in mathematics and science education (pp. 547–587). Mahwah: Lawrence Erlbaum Associates.

    Google Scholar 

  • Cooney, T. J., Shealy, B. E., & Arvold, B. (1998). Conceptualizing belief structures of preservice secondary mathematics teachers. Journal for Research in Mathematics Education, 29, 306–333.

    Article  Google Scholar 

  • Cox, B. D. (1997). The rediscovery of the active learner in adaptive contexts: A developmental-historical analysis of transfer of training. Educational Psychologist, 32, 41–55. https://doi.org/10.1207/s15326985ep3201_4.

    Article  Google Scholar 

  • Coxford, A. F., Fey, J. T., Hirsch, C. R., Schoen, H. L., Burrill, G., Hart, E. W., et al. (1998). Contemporary mathematics in context, Course 1. Chicago: Everyday Learning Corporation.

    Google Scholar 

  • Department of Basic Education, South Africa. (2017). National Curriculum Statements Grades R-12. Retrieved from: http://www.education.gov.za/Curriculum/NationalCurriculumStatementsGradesR-12.aspx.

  • Department for Education, England. (n.d.). National curriculum in England: Mathematics programmes of study. Retrieved from: https://www.gov.uk/government/publications/national-curriculum-in-england-mathematics-programmes-of-study/national-curriculum-in-england-mathematics-programmes-of-study.

  • Di Martino, P., & Zan, R. (2011). Attitude towards mathematics: A bridge between beliefs and emotions. ZDM Mathematics Education, 43, 471–482.

    Article  Google Scholar 

  • Diamond, J. M. (2013). Teachers’ beliefs regarding the generalization of students’ learning and how to support the generalization of students’ learning. [Unpublished doctoral dissertation.] University of California, San Diego. Retrieved from http://search.proquest.com/docview/1447009081?accountid=13758.

  • Engle, R. A. (2006). Framing interactions to foster generative learning: A situative explanation of transfer in a community of learners classroom. Journal of the Learning Sciences, 15, 451–498. https://doi.org/10.1207/s15327809jls1504_2.

    Article  Google Scholar 

  • Engle, R. A., Nguyen, P. D., & Mendelson, A. (2010). The influence of framing on transfer: Initial evidence from a tutoring experiment. Instructional Science, 39, 603–628. https://doi.org/10.1007/s11251-010-9145-2.

    Article  Google Scholar 

  • Forgasz, H., & Leder, G. (2008). Beliefs about mathematics and mathematics teaching. In P. Sullivan & T. Wood (Eds.), The international handbook of mathematics teacher education: Knowledge and beliefs in mathematics teaching and teaching development (Vol. 1). Rotterdam: Sense Publishers.

    Google Scholar 

  • Gainsburg, J. (2007). The mathematical disposition of structural engineers. Journal for Research in Mathematics Education, 38, 477–506.

    Google Scholar 

  • Ginsburg, H. (1997). Entering the child’s mind. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Grant, T. J., Hiebert, J., & Wearne, D. (1998). Observing and teaching reform-minded lessons: What do teachers see? Journal of Mathematics Teacher Education, 1, 217–236.

    Article  Google Scholar 

  • Köller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32, 448–470.

    Article  Google Scholar 

  • Lehtinen, E., & Hannula, M. M. (2006). Attentional processes, abstraction and transfer in early mathematical development. In L. Verschaffel, F. Dochy, M. Boekaerts, & S. Vosniadou (Eds.), Instructional psychology: Past, present and future trends (pp. 39–54). Oxford: Elsevier.

    Google Scholar 

  • Lobato, J. (2003). How design experiments can inform a rethinking of transfer and vice versa. Educational Researcher, 32, 17–20.

    Article  Google Scholar 

  • Lobato, J. (2012). The actor-oriented transfer perspective and its contributions to educational research and practice. Educational Psychologist, 47, 1–16. https://doi.org/10.1080/00461520.2012.693353.

    Article  Google Scholar 

  • Ma, X. (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for Research in Mathematics Education, 30, 520–540.

    Article  Google Scholar 

  • Ma, X., & Kishor, N. (1997). Assessing the relationship between attitude toward mathematics and achievement in mathematics: A meta-analysis. Journal for Research in Mathematics Education, 28, 26–47.

    Article  Google Scholar 

  • Marton, F. (2006). Sameness and difference in transfer. Journal of the Learning Sciences, 15, 499–535. https://doi.org/10.1207/s15327809jls1504_3.

    Article  Google Scholar 

  • Mason, J. (2002). Researching your own practice: The discipline of noticing. London: RoutledgeFalmer.

    Google Scholar 

  • McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In Douglas A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 575–598). New York: Macmillan.

    Google Scholar 

  • Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. San Francisco: Wiley.

    Google Scholar 

  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). Thousand Oaks: Sage Publications Inc.

    Google Scholar 

  • Ministerial Council on Education, Employment, Training and Youth Affairs & Australian Education Systems Officials Committee. (2008). Statements of Learning for Mathematics. Retrieved from: http://www.curriculum.edu.au/verve/_resources/SOL_Maths_Copyright_update2008.pdf.

  • Ministry of Education, Singapore. (2017). Mathematics syllabus: Primary one to five. Retrieved from: https://www.moe.gov.sg/docs/default-source/document/education/syllabuses/sciences/files/primary_mathematics_syllabus_pri1_to_pri5.pdf.

  • National Governors Association Center for Best Practices & Council of Chief State School Officers. (2010). Common Core State Standards for Mathematics. Washington, DC: Authors.

  • National Research Council. (2011). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: National Academies Press.

    Google Scholar 

  • Nokes, T. J. (2009). Mechanisms of knowledge transfer. Thinking & Reasoning, 15, 1–36. https://doi.org/10.1080/13546780802490186.

    Article  Google Scholar 

  • Pajares, M. F. (1992). Teachers’ beliefs and educational research: Cleaning up a messy construct. Review of Educational Research, 62, 307–332.

    Article  Google Scholar 

  • Philipp, R. (2007). Mathematics teachers’ beliefs and affect. In F. K. Lester Jr. (Ed.), Second handbook of research on mathematics teaching and learning (pp. 225–256). Charlotte: Information Age Publishers and National Council of Teachers of Mathematics.

    Google Scholar 

  • Rokeach, M. (1968). Beliefs, attitudes, and values: A theory of organization and change. San Francisco: Jossey-Bass.

    Google Scholar 

  • Schoenfeld, A. H. (1992). On paradigms and methods: What do you do when the ones you know don’t do what you want them to? Issues in the analysis of data in the form of videotapes. Journal of the Learning Sciences, 2, 179–214.

    Article  Google Scholar 

  • Silverman, J., & Thompson, P. (2008). Toward a framework for the development of mathematical knowledge for teaching. Journal of Mathematics Teacher Education, 11, 499–511.

    Article  Google Scholar 

  • Singley, M. K., & Anderson, J. R. (1989). The transfer of cognitive skill. Cambridge: Harvard University Press.

    Google Scholar 

  • Smith, J. P., & Thompson, P. (2008). Quantitative reasoning and the development of algebraic reasoning. In J. J. Kaput, D. W. Carraher, & M. L. Blanton (Eds.), Algebra in the early grades (pp. 95–132). New York: Lawrence Erlbaum Associates.

    Google Scholar 

  • Strauss, A. L. (1987). Qualitative analysis for social scientists. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Strauss, A. L., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Newbury Park: Sage Publications.

    Google Scholar 

  • Takahaski, A., Wantanabe, T., & Yoshida, M. (2008). English translation of the Japanese mathematics curricula in the course of study. Retrieved from: http://ncm.gu.se/media/kursplaner/andralander/Japanese_COS2008Math.pdf.

  • Thorndike, E. L. (1903). Educational psychology. New York: Lemcke and Buechner.

    Book  Google Scholar 

  • Thorndike, E. L. (1906). Principles of teaching. New York: A. G. Seiler.

    Google Scholar 

  • Thorndike, E. L. (1922). Practice effects in intelligence tests. Journal of Experimental Psychology, 5, 101–107. https://doi.org/10.1037/h0074568.

    Article  Google Scholar 

  • Thorndike, E. L. (1924). Mental discipline in high school studies. Journal of Educational Psychology, 15, 1–22. https://doi.org/10.1037/h0075386.

    Article  Google Scholar 

  • Thorndike, E. L., & Woodworth, R. S. (1901). The influence of improvement in one mental function upon the efficiency of other functions, Part I. Psychological Review, 8, 247–261. https://doi.org/10.1037/h0074898.

    Article  Google Scholar 

  • Tuomi-Gröhn, T., & Engeström, Y. (2003). Conceptualizing transfer: From standard notions to developmental perspectives. In T. Tuomi-Gröhn & Y. Engeström (Eds.), Between school and work: New perspectives on transfer and boundary-crossing. Oxford: Pergamon Press.

    Google Scholar 

  • Van Dyke, F. (2002). A visual approach to functions. Emeryville: Key Curriculum Press.

    Google Scholar 

  • Vergnaud, G. (1983). Multiplicative structures. In R. Lesh & M. Landau (Eds.), Acquisition of mathematics concepts and processes (pp. 121–174). New York: Academic Press.

    Google Scholar 

  • Wagner, J. F. (2010). A transfer-in-pieces consideration of the perception of structure in the transfer of learning. Journal of the Learning Sciences, 19, 443–479. https://doi.org/10.1080/10508406.2010.505138.

    Article  Google Scholar 

  • Wong, N. (1992). The relationship among mathematics achievement, affective variables, and home background. Mathematics Education Research Journal, 4(3), 32–42.

    Article  Google Scholar 

Download references

Acknowledgements

I would like to thank Jessica Bishop, Amy Ellis, Andrew Izsák, and Steve Oliver for their thoughtful feedback on earlier drafts of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jaime Marie Diamond.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Diamond, J.M. Teachers’ beliefs about students’ transfer of learning. J Math Teacher Educ 22, 459–487 (2019). https://doi.org/10.1007/s10857-018-9400-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10857-018-9400-z

Keywords

Navigation