Skip to main content

An Adaptive Tool for Learning

  • Conference paper
  • First Online:
Assessment for Learning Within and Beyond the Classroom
  • 2711 Accesses

Abstract

Various approaches have been made to make students adaptively learn through online learning. With the advancement of Internet technologies and the wide application of e-learning tools, it is certainly possible to provide effective learning tools for younger generation of learners. The younger generation of learners are more Internet savvy, and they tend to learn through online material which provides easy-to-use menus and functionality. However, few online tools provide adaptive learning materials to these generations of learners, and most of them are rather static in nature and provide simplistic functions. In fact, studies have shown that different learners have different learning abilities, and thus, they require a different set of learning materials. In this paper, we proposed a novel adaptive learning tool which could effectively gauge the user’s learning behavior and adapt the content material to suit his needs. Our preliminary study shows that the users show positive response to our tool.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Institutional subscriptions

References

  • Ackerman, P. L. (1996). A theory of adult intellectual development: Process, personality, interests, and knowledge. Intelligence, 22, 227–257.

    Article  Google Scholar 

  • Ackerman, P. L. (2003). Aptitude complexes and trait complexes. Educational Psychologist, 38, 85–93.

    Article  Google Scholar 

  • Bennett, R. E., & Persky, H. (2002). Problem solving in technology-rich environments. In Qualifications and Curriculum Authority (Ed.), Assessing gifted and talented children (pp. 19–33). London, England: Qualifications and Curriculum Authority.

    Google Scholar 

  • Hambleton, R. K. (1996). Advances in assessment models, methods, and practices. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 889–925). New York: American Council on Education/Macmillan.

    Google Scholar 

  • Maki, W. S., & Maki, R. H. (2002). Multimedia comprehension skill predicts differential outcomes of web-based and lecture courses. Journal of Experimental Psychology: Applied, 8, 85–98.

    Google Scholar 

  • Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (1999). On the roles of task model variables in assessment design (CSE Tech. Rep. No. 500). Los Angeles: University of California, Center for the Study of Evaluation, Graduate School of Education & Information Studies.

    Google Scholar 

  • Mislevy, R. J., Steinberg, L. S., Almond, R. G., Haertel, G., & Penuel, W. (2001). Leverage points for improving educational assessment (CSE Tech. Rep. No. 534). Los Angeles: University of California, Center for Studies in Education/CRESST.

    Google Scholar 

  • Shute, V. J. (1993). A comparison of learning environments: All that glitters. In S. P. Lajoie & S. J. Derry (Eds.), Computers as cognitive tools (pp. 47–74). Hillsdale, NJ: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  • Sternberg, R. J. (1999). Thinking styles. New York: Cambridge University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jer Lang Hong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Hong, J.L. (2016). An Adaptive Tool for Learning. In: Tang, S., Logonnathan, L. (eds) Assessment for Learning Within and Beyond the Classroom. Springer, Singapore. https://doi.org/10.1007/978-981-10-0908-2_7

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0908-2_7

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0906-8

  • Online ISBN: 978-981-10-0908-2

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics