Skip to main content

Social Network Application Development Based on Cloud Computing for Web-based Learning

  • Conference paper
  • First Online:
Current Developments in Web Based Learning (ICWL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9584))

Included in the following conference series:

Abstract

Social network applications and Massive Online Open Course (MOOC) have been widely used in Web-based learning, which have generated large amounts of users and learning materials. Thus, it is useful to manage various learners and share the data efficiently. We here develop a social network application, V-share to facilitate the learner communication and share the learning data based on cloud computing. The V-share has achieved functions of sending and receiving instant voice messages, images and expressions, taking pictures, uploading learning materials instantly, and online voice call. To evaluate the effectiveness of the developed V-share, we compare it to the classical e-learning system on Web-based learning by various metrics. Experimental results based on the usage data of ten learners indicate that V-share could improve the activeness of learners in terms of the averaged browsing time, flow, learners’ satisfaction, and frequency of data sharing.

Y. Rao—The research work described in this article has been substantially supported by the Fundamental Research Funds for the Central Universities (Project Number: 46000-31610009).

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 EPUB and 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

References

  1. Yin, Z., Gupta, M., Weninger, T., Han, J.: LINKREC: a unified framework for link recommendation with user attributes and graph structure. In: Proceedings of the 19th International Conference on World Wide Web (WWW), pp. 1211–1212 (2010)

    Google Scholar 

  2. Li, Q., Lau, R.W.H., Wah, B., Ashman, H., Leung, E., Li, F., Lee, V.: Guest editors’ introduction: emerging internet technologies for e-learning. IEEE Internet Comput. 13(4), 11–17 (2009)

    Article  Google Scholar 

  3. Zou, D., Xie, H., Li, Q., Wang, F.L., Chen, W.: The load-based learner profile for incidental word learning task generation. In: Popescu, E., Lau, R.W.H., Pata, K., Leung, H., Laanpere, M. (eds.) ICWL 2014. LNCS, vol. 8613, pp. 190–200. Springer, Heidelberg (2014)

    Google Scholar 

  4. DiMicco, J., Millen, D.R., Geyer, W., Dugan, C., Brownholtz, B., Muller, M.: Motivations for social networking at work. In: Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work (CSCW), pp. 711–720 (2008)

    Google Scholar 

  5. Yoshida, T.: Toward finding hidden communities based on user profiles. In: Proceedings of the IEEE International Conferences on Data Mining Workshops (ICDMW), pp. 380–387 (2010)

    Google Scholar 

  6. http://www.rongcloud.cn/

  7. http://sae.sina.com.cn/

  8. Wu, F., Huberman, B.A., Adamic, L.A., Tyler, J.R.: Information flow in social groups. Physica A Stat. Mech. Appl. 337(1), 327–335 (2004)

    Article  MathSciNet  Google Scholar 

  9. Zaman, T.R., Herbrich, R., Gael, J., Stern, D.: Predicting information spreading in twitter. Proc. Neural Inf. Process. Syst. (NIPS) 104(45), 598–601 (2010)

    Google Scholar 

  10. http://smie2.sysu.edu.cn/~xyz/mie311/

  11. Xie, H.R., Li, Q., Mao, X.D., Li, X.D., Cai, Y., Rao, Y.H.: Community-aware user profile enrichment in folksonomy. Neural Netw. 58, 111–121 (2014)

    Article  Google Scholar 

  12. Hanandeh, F., Abdallah, E.E., Abdallah, A.E., Al-Daoud, E.: Simplified approach for generating integrity tests in distributed database systems. Int. J. Innov. Learn. 13(4), 375–387 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

The research described in this paper has been supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS11/E06/14).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yanghui Rao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Guo, Z., Rao, Y., Wang, F.L. (2016). Social Network Application Development Based on Cloud Computing for Web-based Learning. In: Gong, Z., Chiu, D., Zou, D. (eds) Current Developments in Web Based Learning. ICWL 2015. Lecture Notes in Computer Science(), vol 9584. Springer, Cham. https://doi.org/10.1007/978-3-319-32865-2_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32865-2_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32864-5

  • Online ISBN: 978-3-319-32865-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics