Skip to main content

Cognitive Load Theory Based Effectiveness Evaluation on Dynamic Math Teaching

  • Conference paper
Hybrid Learning (ICHL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6248))

Included in the following conference series:

Abstract

In computer supported teaching, the final test result was usually used to evaluate the teaching effectiveness. However, it was not easy to facilitate the students to make a significant progress in a short period. In this study besides the final test results, the cognitive load and non-test performances were also used to investigate the effectiveness of computer supported dynamic math teaching. Results indicated that though there was no significant difference in the final test results, computer supported dynamic math teaching performed significantly better in graphic related problems in non-test performances. Considering the combination results of the non-test performance and cognitive load, the computer supported dynamic math teaching method could facilitate more efficient learning.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ayres, P.: Using subjective measures to detect variations of intrinsic cognitive load within problems. Learning and Instruction 16, 389–400 (2006)

    Article  Google Scholar 

  2. Chuang, C.P.: The design of cognitive load scale. In: FoGuang University, IECT Taiwan & Foundation of China audio-visual Education jointly (ed.) Symposium on Cognitive Load: Theory and Applications, 4th edn., pp. 5-1-1–5-22. FoGuang University, YiLan (2007)

    Google Scholar 

  3. Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In: Hancock, P.A., Mesh Kati, N. (eds.) Human Mental Workload, pp. 139–178. Elsevier Science, Amsterdam (1988)

    Chapter  Google Scholar 

  4. Kalyuga, S., Ayres, P., Chandler, P., Sweller, J.: The Expertise Reversal Effect. Educational Psychologist 38(1), 23–31 (2003)

    Article  Google Scholar 

  5. Kirschner, P.A.: Cognitive load theory: implications of cognitive load theory on the design of learning. Learning and Instruction 12, 1–10 (2002)

    Article  Google Scholar 

  6. Mayer, R.E.: The Cambridge Handbook of Multimedia Learning. Cambridge University Press, Cambridge (2005)

    Google Scholar 

  7. NASA-TLX. Task Load Index, http://humansystems.arc.nasa.gov/groups/TLX/ (retrieved on February 23, 2010)

  8. Paas, F.: Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive load approach. Journal of Educational Psychology 84, 429–434 (1992)

    Article  Google Scholar 

  9. Pass, F., Renkl, A., Sweller, J.: Cognitive Load Theory and Instructional Design: Recent Developments. Educational Psychologist 38(1), 1–4 (2003)

    Article  Google Scholar 

  10. Paas, F., van Merrien̈boer, J.J.G.: The efficiency of instructional conditions: An approach to combine mental effort and performance measures. Human Factors 35(4), 737–743 (1993)

    Google Scholar 

  11. Paas, F., Tuovinen, J.E., Tabbers, H., van Gerven, P.W.M.: Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist 38(1), 63–71 (2003)

    Article  Google Scholar 

  12. Sweller, J.: Cognitive load theory, learning difficulty and instructional design. Learning and Instruction 4, 295–312 (1994)

    Article  Google Scholar 

  13. Sweller, J.: Instructional design consequences of an analogy between evolution by natural selection and human cognitive architecture. Instructional Science 32, 9–31 (2004)

    Article  Google Scholar 

  14. Sweller, J.: Cognitive Load. In: FoGuang University IECT Taiwan & Foundation of China audio-visual Education jointly (ed.) Symposium on Cognitive Load: Theory and Applications, p. K1-44. FoGuang University, YiLan (2007)

    Google Scholar 

  15. Sweller, J., van Merrienboer, J.G., Paas, F.: Cognitive architecture and instructional design. Educational Psychology Review 10(3), 251–296 (1998)

    Article  Google Scholar 

  16. van Gog, T., Pass, F.: Instructional efficiency: revisiting the original construct in educational research. Educational Psychologist 43(1), 16–26 (2008)

    Google Scholar 

  17. van Merrienboer, J.G., Sweller, J.: Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions. Educational Psychology Review 17(2), 147–177 (2005)

    Article  Google Scholar 

  18. Wai, F.L.: DM_Lab and experimental geometry instruction. Macao Foundation, Macao (2002)

    Google Scholar 

  19. Qian-ben, Z., Yi-zheng, H., De-zheng, Z., Bi-shan, X.: Cognitive Load Measurement Instrument Design. In: Symposium on Cognitive Load: Theory and Application Conference, pp. 5-1-1– 5-1-19. FoGuang University, YiLan (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhang, L., Chan, N., Chu, Y. (2010). Cognitive Load Theory Based Effectiveness Evaluation on Dynamic Math Teaching. In: Tsang, P., Cheung, S.K.S., Lee, V.S.K., Huang, R. (eds) Hybrid Learning. ICHL 2010. Lecture Notes in Computer Science, vol 6248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14657-2_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14657-2_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14656-5

  • Online ISBN: 978-3-642-14657-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics