Evaluate Student Satisfaction for Social Learning Network at King Abdulaziz University


The new Web 2.0 trends have offered new tools to connect people not only to digital knowledge repositories but also to other people, in order to share ideas, collaboratively create new forms of dynamic learning content, get effective support, and learn with and from peers. Different types of collaborative content applications, such as blogs and wikis, are used by people of all ages, supporting the collaborative creation and sharing of knowledge among young and old, students and experts, inside and outside organizations and educational institutions. This research investigates the effects of Web 2.0 and social networks on students’ performance in online education which uses networking as an adjunct mode for enhancing traditional education in King Abdulaziz University.

Share and Cite:

M. Alshareef, "Evaluate Student Satisfaction for Social Learning Network at King Abdulaziz University," Advances in Internet of Things, Vol. 3 No. 3, 2013, pp. 41-44. doi: 10.4236/ait.2013.33006.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] C. Janssens and D. Wildemeersch, “Social Learning in Interactive Policy Processes. The Case of City Forest Planning in Flanders,” Katholieke Universiteit, Leuven, 2010.
[2] R. D. Caytiles, S.-H. Jeon and T.-H. Kim, “U-Learning Community: An Interactive Social Learning Model Based on Wireless Sensor Networks,” International Conference on Computational Intelligence and Communication Systems, Gwalior, 2011, pp. 745-749.
[3] H. Ogata, “Features of Ubiquitous Learning from Computer Supported Ubiquitous Learning Environment for Language Learning,” Journal Transactions Processing Society of Japan, Vol. 45, No. 10, 2003, pp. 2354-2363.
[4] P. Anderson, “What is Web 2.0? Ideas, Technologies and Implications for Education,” JISC Technical Report, 2007. http://www.jisc.ac.uk/media/documents/techwatch/tsw0701b.pdf
[5] T. O’Reilly, “What Is Web 2.0,” 2005.
[6] B. Nardi, D. Schiano, M. Gumbrecht and L. Swartz, “Why We Blog,” Communications of the Association for Computing Machinery, 2004. doi:10.1145/1035134.1035163
[7] S. O’Hear, “Seconds Out, Round Two,” The Guardian, 2005.
[8] P. A. Willging, “Using Social Network Analysis Techniques to Examine Online Interactions,” US-China Education Review, Vol. 2, No. 9, 2005, pp. 46-56.
[9] J. Wright, “Blog Marketing,” McGraw-Hill, Boston, 2006.
[10] R. L. Breiger, “The Analysis of Social Networks,” In: M. Hardy and A. Bryman, Eds., Handbook of Data Analysis, Sage Publications, London, 2004, pp. 505-526.
[11] P J. Carrington, J. Scott and S. Wasserman, “Models and Methods in Social Network Analysis,” Cambridge University Press, New York, 2005.
[12] M. Newman, “The Structure and Function of Complex Networks,” SIAM Review, Vol. 45, No. 2, 2003, pp. 167-256. doi:10.1137/S003614450342480
[13] J. A. Oravec, “Bookmarking the World: Weblog Applications in Education,” Journal of Adolescent & Adult Literacy, Vol. 45, No. 7, 2002, pp. 616-621.
[14] J. Dailey, “Blogging for Learning: Now Everyone Has Something to Say, Feedback,” Broadcast Educators Association, 2006.
[15] A. Leene, “Web 2.0 Checklist 2.0,” MicroContent Musings, 2005.
[16] R. T. Sparrowe, R. C. Liden and M. L. Kraimer, “Social Networks and the Performance of Individuals and Groups,” Academy of Management Journal, Vol. 44, No. 2, 2001, pp. 316-325. doi:10.2307/3069458
[17] K. G. Joreskog and D. Sorbaum, “LISREL 8: Structural Equation Modeling with SIMPLIS Command Language,” Erlbaum, Hillsdale, 1993.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.