The Usage of Social Networks in Educational Context
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
The Usage of Social Networks in Educational Context

Authors: Sacide Güzin Mazman, Yasemin Koçak Usluel

Abstract:

Possible advantages of technology in educational context required the defining boundaries of formal and informal learning. Increasing opportunity to ubiquitous learning by technological support has revealed a question of how to discover the potential of individuals in the spontaneous environments such as social networks. This seems to be related with the question of what purposes in social networks have been being used? Social networks provide various advantages in educational context as collaboration, knowledge sharing, common interests, active participation and reflective thinking. As a consequence of these, the purpose of this study is composed of proposing a new model that could determine factors which effect adoption of social network applications for usage in educational context. While developing a model proposal, the existing adoption and diffusion models have been reviewed and they are thought to be suitable on handling an original perspective instead of using completely other diffusion or acceptance models because of different natures of education from other organizations. In the proposed model; social factors, perceived ease of use, perceived usefulness and innovativeness are determined four direct constructs that effect adoption process. Facilitating conditions, image, subjective norms and community identity are incorporated to model as antecedents of these direct four constructs.

Keywords: Adoption of innovation, educational context, social networks.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1057827

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References:


[1] Pettenati, M.C. and M. Ranieri. Informal learning theories and tools to support knowledge management in distributed CoPs. in Innovative Approaches for Learning and Knowledge Sharing, EC-TEL. Workshop Proceeding. 2006.
[2] Bartlett-Bragg, A. Reflections on pedagogy: Reframing practice to foster informal learning with social software. 2006
[cited 10.02.2008]; Available from: http://www.dream.sdu.dk/uploads/files/Anne%20Bartlett-Bragg.pdf.
[3] Brandtzæg, P.B. and J. Heim, Initial context, user and social requirements for the Citizen Media applications: Participation and motivations in off- and online communities. Citizen Media Project. Deliverable D1.2.1., 2007.
[4] Baird, D.E. and M. Fisher, Neomillennial user experience design strategies: Utilizing social networking media to support "always on" learning styles. J. Educational Technology Systems, 2006. 34(1): p. 5- 32.
[5] Evans, V., Networks, connections and community: Learning with social software. Canberra: Commonwealth of Australia, Department of Education Science and Training, in Australian National Training Authority and Commonwealth of Australia, A.F.L. Framework, Editor. 2007.
[6] McLoughlin, C. and M.J.W. Lee. Social software and participatory learning: Pedagogical choices with technology affordances in the Web 2.0 era. in Ascilite. 2007. Singapore.
[7] Mazer, J., R. Murphy, and C. Simonds, I'll See You On "Facebook": The Effects of Computer-Mediated Teacher Self-Disclosure on Student Motivation, Affective Learning, and Classroom Climate. Communication Education, 2007. 56: p. 1-17.
[8] Selwyn, N., Web 2.0 applications as alternative environments for informal learning - a critical review, in OECD-KERIS expert meeting. Alternative learning environments in practice: using ICT to change impact and outcomes. 2007a.
[9] Pettenati, M.C. and E. Cigognini, Social Networking Theories and Tools to Support Connectivist Learning Activities. Special issue of the International Journal of Web-based Learning and Teaching Technologies, 2007.
[10] Fishbein, M. and I. Ajzen, Belief, attitude, intention and behavior: an introduction to theory and research. 1975: Addison-Wesley, Reading MA. .
[11] Ajzen, I., The Theory of Planned Behaviour. Organizational Behavior and Human Decision Processes, 1991. 50(2): p. 179-211.
[12] Davis, F.D., Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 1989. 13(3): p. 319-340.
[13] Rogers, E., Diffusion of Innovation. 2003, New York: Free Press.
[14] Moore, G.C. and I. Benbasat, Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 1991. 2(3): p. 192-222.
[15] Venkatesh, V. and F.D. Davis, A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 2000. 45(2): p. 186-204.
[16] Venkatesh, V., et al., User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 2003. 27(3): p. 425-478.
[17] Thompson, R.L. and C.A. Higgins, Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 1991. 15(1): p. 125- 143.
[18] Agarwall, R. and J. Prasad, A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 1998. 9(2): p. 204-215.
[19] TermBank ─░ngilizce T├╝rk├ºe Psikoloji Sözl├╝─ƒ├╝.
[cited 29.05.2008]; Available from: http://www.termbank.net/psychology
[20] McMillan, D.W. and D.M. Chavis, Sense of Community: A Definition and Theory. Journal of Community Psychology, 1986. 14.
[21] Dholakia, U.M., R.P. Bagozzi, and L.K. Pearo, A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing, 2004. 21(3): p. 241-263.
[22] Jung, I., et al., Effects of different types of interaction on learning achievement, satisfaction, and participation in web-based instruction. Innovations in Education and Teaching International, 2002. 39(2): p. 153-162.
[23] Shen, D., et al., Social Influence for Perceived Usefulness and Ease of Use of Course Delivery Systems. Journal of Interactive Online Learning, 2006. 5(3): p. 270-282.
[24] Bagozzi, R.P. and K.H. Lee, Multiple routes for social influence: The role of compliance, internalization, and social identity. . Social Psychology Quarterly, 2002. 65(3): p. 226-247.
[25] Malhotra, Y. and F.D. Galletta. Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. in Proceedings of the 32nd Hawaii International Conference on System Sciences. 1999.