Skip to main content

Cognitive Models and Its Current Challenges

  • Conference paper
Book cover Information Intelligence, Systems, Technology and Management (ICISTM 2011)

Abstract

Cognitive learning and learner’s mind processes play important roles in education. It is a process of acquiring new habits, knowledge and skills which together enable the students to do something they could not have done before. Some of the theories are bloom’s taxonomy, information processing theory and critical thinking. Students understand and remember better if they can fit their learning into a framework and are motivated to learn if that framework fits into what they understand as their ultimate goal. Here we reviewed some of the cognitive models which may support students to learn the learning content through the learning management system. In this context, the student performs the user role while using the cognitive model as a tool to learn and take part in the subject in a more effective way.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Webster, M.: Online: Rote Learning Memorization (1990)

    Google Scholar 

  2. Leonard, U.: Pattern recognition: learning and thought. Prentice-Hall, Englewood Cliffs (1973)

    MATH  Google Scholar 

  3. Susan, M.W., Ray, B., Reiser, J.: An environment for supporting independent individualized learning and problem solving. School of Education and Social Policy Institute for the Learning Sciences

    Google Scholar 

  4. Huitt, W.: Problem solving and decision making: consideration of individual differences using the Myers-Briggs Type Indicator. Journal of Psychological Type 24, 33–44

    Google Scholar 

  5. Yedendra, B., Shrinivasanand, J., Wijk, J.: Supporting the analytical reasoning process in information visualization. In: CHI, Florence, Italy (2008)

    Google Scholar 

  6. Dale, N., Pavlo., A., Serkan, T.: Modular object-oriented dynamic learning environment: what open source has to offer. Iowa State University, Iowa

    Google Scholar 

  7. Pofen, W., Wenlung, C., Weichung, W., Pi-hsia, H.: Dynamic learning system and its effects. In: International Conference on Computers in Education (ICCE 2002) (2002)

    Google Scholar 

  8. Luis, V.A., Mihir, K., Manuel, B.: Verbosity: a game for collecting common-sense facts. In: CHI, Montréal, Québec, Canada (2006)

    Google Scholar 

  9. Maria, R.: Learning by doing and learning through play: an exploration of interactivity in virtual environments for children. ACM, New York (2004)

    Google Scholar 

  10. Junia, C.A., Aparecido, F.P., Vania, P.A., Muriel, G., Silvia, Z.M., Américo, T.N., Henry, L.: Applying common sense to distance learning: the case of home care education. ACM, New York (2006)

    Google Scholar 

  11. Aparecido, C., Junia, C.A., Silvia, H.Z.: Learning activities on health care supported by common sense knowledge. In: SAC 2008, Fortaleza, Ceará, Brazil (2008)

    Google Scholar 

  12. Nalin, S.: Creating innovative new media programs: need, challenges, and development framework. Computer Science and Mathematics

    Google Scholar 

  13. Ramboll, M.: Study on innovative learning environments in school education (2003)

    Google Scholar 

  14. Bartlett, S.: Developing a Bartlett strategy for innovative learning. In: Bartlett, School of Planning

    Google Scholar 

  15. Conlan, O., Hockemeyer, C., Wade, V., Albert, D.: Metadata driven approaches to facilitate adaptivity in personalized eLearning systems. Journal of the Japanese Society for Information and Systems in Education (2003)

    Google Scholar 

  16. Ilja, L., Lieberman, E.: Developing analytical and synthetic thinking in technology education

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Goyal, M., Choubey, A., Yadav, D. (2011). Cognitive Models and Its Current Challenges. In: Dua, S., Sahni, S., Goyal, D.P. (eds) Information Intelligence, Systems, Technology and Management. ICISTM 2011. Communications in Computer and Information Science, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19423-8_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19423-8_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19422-1

  • Online ISBN: 978-3-642-19423-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics