Skip to main content

Learners’ Preferred Mathematical Task Types: The Values Perspective

  • Chapter
  • First Online:
  • 2689 Accesses

Part of the book series: Mathematics Education Library ((MELI))

Abstract

Through the interpretation of a set of data from a research study that investigated grade 5 and 6 students’ preferences among three types of mathematical tasks, this chapter presents an alternative way in which data might be interpreted. While it was found that across the areas of number and geometry, the three types of tasks were most preferred across different geographical locations, the values perspective demonstrated a remarkably consistent valuing of ‘challenge’, ‘easiness’ and ‘real life scenario’. It is proposed that this ‘rethinking’ into the way in which collected data might be analysed from the values perspective can potentially enrich our understanding of how we can better facilitate mathematics learning and teaching in schools.

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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
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

References

  • Agresti, A. (2002). Categorical data analysis (Second ed.). Hoboken, NJ: John Wiley & Sons.

    Google Scholar 

  • Apple, M. W. (2000). Official knowledge (2nd ed.). NY: Routledge.

    Google Scholar 

  • Askew, M., Hodgen, J., Hossain, S., & Bretscher, N. (2010). Values and variables: Mathematics education in high-performing countries. London: Nuffield Foundation.

    Google Scholar 

  • Bishop, A. J. (1988). Mathematical enculturation: A cultural perspective on mathematics education. Dordrecht, The Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Bishop, A. J. (1996, June 3–7). How should mathematics teaching in modern societies relate to cultural values — some preliminary questions. Paper presented at the Seventh Southeast Asian Conference on Mathematics Education, Hanoi, Vietnam.

    Google Scholar 

  • Clarke, D., & Roche, A. (2009). Opportunities and challenges for teachers and students provided by tasks built around ‘real’ contexts. In R. Hunter, B. Bicknell, & T. Burgess (Eds.), Crossing divides: Proceedings of the 32nd annual conference of the Mathematics Education Research Group of Australasia (pp. 722–726). Palmerston North: MERGA.

    Google Scholar 

  • Clarkson, P. C., Bishop, A. J., Seah, W. T., & FitzSimons, G. (2000, December 4–7). Methodology challenges and constraints in the Values And Mathematics Project. Paper presented at the AARE Sydney 2000, Sydney, Australia.

    Google Scholar 

  • Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Halstead, M. (1996). Values and values education in schools. In J. M. Halstead & M. J. Taylor (Eds.), Values in education and education in values (pp. 3–14). London: Falmer Press

    Google Scholar 

  • Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics. Washington, DC: National Academy.

    Google Scholar 

  • Keitel, C. (2003). Values in mathematics classroom practice: The students' perspective. Paper presented at the Conference of the Learners' Perspective Study international research team, Melbourne, Australia.

    Google Scholar 

  • Lovat, T., & Clement, N. (2008). Quality teaching and values education: Coalescing for effective learning. Journal of Moral Education, 37(1), 1–16.

    Article  Google Scholar 

  • Law, H. Y., Wong, N. Y., & Lee, N. Y. L. (2010). The third wave: Regional and cross-regional studies of values in effective mathematics education - Hong Kong. In Y. Shimizu, Y. Sekiguchi & K. Hino (Eds.), Proceedings of the 5th East Asia Regional Conference on Mathematics Education (Vol. 2, pp. 111–118). Tokyo, Japan: Japan Society of Mathematical Education

    Google Scholar 

  • McLaren, P. (1998). Life in schools: An introduction to critical pedagogy in the foundations of education. NY: Longman.

    Google Scholar 

  • Ryan, J., Kang, C., Mitchell, I., & Erickson, G. (2009). China’s basic education reform: an account of an international collaborative research and development project. Asia Pacific Journal of Education, 29(4), 427–441.

    Google Scholar 

  • Seah, W. T. (2005). Negotiating about perceived value differences in mathematics teaching: The case of immigrant teachers in Australia. In H. Chick & J. L. Vincent (Eds.), Proceedings of the 29th conference of the International Group for the Psychology of Mathematics Education (Vol. 4, pp. 145–152). Melbourne: PME.

    Google Scholar 

  • Seah, W. T., Barkatsas, A., Sullivan, P., & Li, Z. (2010). Chinese students’ perspectives of effective mathematics learning: An exploratory study. In T. Desmond (Ed.), The Asian conference on education official conference proceedings 2010 (pp. 389–403). Japan: International Academic Forum.

    Google Scholar 

  • Seah, W. T., & Ho, S. Y. (2009). Values operating in effective mathematics lessons in Australia and Singapore: Reflections of pre-service teachers. In M. Tzekaki, M. Kaldrimidou & H. Sakonidis (Eds.), Proceedings of the 33rd conference of the International Group for the Psychology of Mathematics Education (Vol. 5, pp. 57–64). Thessaloniki, Greece: International Group for the Psychology of Mathematics Education.

    Google Scholar 

  • Simon, M. A., & Tzur, R. (2004). Explicating the role of mathematical tasks in conceptual learning: An elaboration of the hypothetical learning trajectory. Mathematical Thinking and Learning, 6(2), 91–104.

    Article  Google Scholar 

  • Stein, M. K., Grover, B. W., & Henningsen, M. A. (1996). Building student capacity for mathematical thinking and reasoning: An analysis of mathematical tasks used in reform classrooms. American Educational Research Journal, 33(2), 455–488.

    Article  Google Scholar 

  • Stein, M. K., Smith, M. S., Henningsen, M. A., & Silver, E. A. (2000). Implementing Standards-based mathematics instruction: A casebook for professional development. New York: Teachers College Press.

    Google Scholar 

  • Sullivan, P. (2010). Learning about selecting classroom tasks and structuring mathematics lessons from students teaching mathematics? Make it count: What research tells us about effective teaching and learning of mathematics (pp. 53–55). Victoria: Australian Council for Educational Research.

    Google Scholar 

  • Sullivan, P., Clarke, D. M., Clarke, B. A., & O’Shea, H. (2009). Exploring the relationship between tasks, teacher actions, and student learning. In M. Tzekaki, M. Kaldrimidou, & H. Sakonidis (Eds.), Proceedings of the 33rd conference of the international group for the psychology of mathematics education (Vol. 5, pp. 185–192). Thessaloniki: PME.

    Google Scholar 

  • Swan, M. (2008). Designing a multiple representation learning experience in secondary algebra. Educational Designer, 1, 1–17.

    Google Scholar 

  • Warren, C., McGraw, A. P., & Van Boven, L. (2011). Values and preferences: Defining preference construction. Wiley Interdisciplinary Reviews: Cognitive Science, 2, 193–205. doi: 10.1002/wcs.98

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anastasios (Tasos) Barkatsas .

Editor information

Editors and Affiliations

Appendices

Appendix 1

figure a
figure b

Appendix 2

From the data shown in Table 4.6, the observed odds that ‘Chengdu students prefer Challenging tasks most, compared to Fun’ are 32.5/9.5 = 3.42. The ‘Chengdu students prefer Challenging tasks least compared to Fun’ ratio is 18.5/3.5 = 5.29. The ratio of these two odds, the odds ratio is 3.42/5.29 = 0.65. The log of the odds ratio, called the log odds ratio, is Ln (0.65) = − 0.43 (which is the top value highlighted in Table 4.6, second column, third row).

Note that the parameter estimates (log odds ratios) in SPSS (Tables 4.4 and 4.5) are logarithmic numbers and we have to take the exponential of the value in each cell in order to derive the odds ratios from the log odds ratios, i.e. in our case: e −0.43 = 0.65 (which is the highlighted value in the bracket, Table 4.4, 3rd column, 2nd row).

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Barkatsas, A., Seah, W. (2015). Learners’ Preferred Mathematical Task Types: The Values Perspective. In: Bishop, A., Tan, H., Barkatsas, T. (eds) Diversity in Mathematics Education. Mathematics Education Library. Springer, Cham. https://doi.org/10.1007/978-3-319-05978-5_4

Download citation

Publish with us

Policies and ethics