Skip to main content

Advertisement

Log in

A study for the mechanism of expression of individual creativity throughout the social learning platform in cluster computing environment (focus on scenario and data collection design)

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

As social network service (SNS) is set as life friendly service, the knowledge of ordinary individuals is being used in educational arena. That is, collective intelligence is built between students or between students and SNS, not between teachers and student in hierarchical educational situation, and the application plan for collective intelligence has been suggested as a new topic in cluster computing environment. This study suggests social learning platform in a specific way to realize the collective intelligence with the interaction between students, teachers and external helper (using API) in educational filed. In this study social learning platform means the aggregation of specific system that collective intelligence helps individual’s creativity realize. This study is expected to help for application, expansion and creative linkage of collective intelligence which is able to use at social education in the future, also help the new relation between students and teachers in cluster computing environment.

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

References

  1. Brooks, R.A., Breazeal, C., Irie, R., Kemp, C.C., Marjanovic, M., Scassellati, B., Williamson, M.M. Alternative essences of intelligence. In: Proceedings of the American Association of Artificial Intelligence (AAAI-98) (1998)

  2. Cakir, M., Xhafa, F., Zhou, N., Stahl, G.: Thread-based analysis of patterns of collaborative interaction in chat, international conference on AI in Education. http://gerrystahl.net/pub/aied2005.pdf (2005)

  3. Palloff, R., Pratt, K.: Building Learning Communities in Cyberspace: Effective Strategies for the Online Classroom. Jossey-Bass, San Francisco (1999)

    Google Scholar 

  4. Miller, C.C. Google Searches for Style. The New York Times. Retrieved 5 March 2013

  5. Resnick, M.: Computer as Paintbrush: Technology, Play, and the Creative Society. Oxford University Press, Oxford (2009)

    Google Scholar 

  6. Stahl, G., Koschmann, T., Suthers, D.: Computer-supported collaborative learning: An historical perspective. In: Sawyer, R.K. (ed.) Cambridge Handbook of the Learning Sciences, pp. 409–426. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  7. Vishnu Raj, Internet of things how to leverage for marketing, Business Analyst at Mu Sigma Inc., Apr 28, 2014, http://www.slideshare.net/vishnurajthegreat/internet-of-things-how-to-leverage-for-marketing

  8. Zhou L., Gurrin, C., A Survey on Life Logging Data Capturing (2012)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heuiseok Lim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kang, JM., Lim, H. & Yun, S. A study for the mechanism of expression of individual creativity throughout the social learning platform in cluster computing environment (focus on scenario and data collection design). Cluster Comput 18, 619–627 (2015). https://doi.org/10.1007/s10586-015-0427-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-015-0427-y

Keywords

Navigation