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Social Media Used in Higher Education: A Literature Review of Theoretical Models
Abstract
Abstract— This research provides a literature review related with social media used for collaborative learning and engagement in turn, to affect students' academic performance in higher education. Therefore, the main objective of this research is to review models on social media use for active collaborative learning and engagement by interactive and perceptual factors in turn affecting the learning performance of research students. Therefore, this study conducted on two theories constructivism theory and Technology Acceptance Model (TAM). This paper conducted an analysis of studies dedicated to social media use for collaborative learning and engagement based on previous research problems of models, and the theories. According to the literature review and discussion in this research, we noted the full satisfaction of students was through the use of social media for active collaborative learning and engagement to positively affect their learning performance.
Keywords— Social Media, Collaborative Learning, Students’ Academic Performance, Theoretical Model
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Ainin, S., Naqshbandi, M. M., Mogavvemi, S., and Jaafar, N. I. (2015). Facebook usage, socialization and academic performance. Computers & Education. 83 (2015) 64-73.
Al-Rahmi, M.A., Mohd, S.O., and Lizawati, M. Y., (2015). The Role of Using Social Media for Collaborative Learning to Improve Academic Performance of Students and Researchers in Malaysian Higher Education, The International Review of Research in Open and Distributed Learning, Vol. 16, No. 4, pp.1-27.
Cheung ,R and Voge, D.(2013).Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education 63 (2013) 160–175.
Cao, Y., and Hong, P. (2011). Antecedents and consequences of social media utilization in college teaching: a proposed model with mixed-methods investigation, 19(4), 297–306.
G. O. Young, “Synthetic structure of industrial plastics (Book style with paper title and editor),” in Plastics, 2nd ed. vol. 3, J. Peters, Ed. New York: McGraw-Hill, 1964, pp. 15–64.
Alloway, T. and Alloway, R. (2012). The impact of engagement with social networking sites (SNSs) on cognitive skills. Computers in Human Behavior, 28(5), 1748–1754.
Ala-mutka, K., and Punie, Y. (2010).Learning 2 . 0 The Impact of Social Media on Learning in Europe. Policy brief. JRC Scientific and Technical Report. EUR JRC56958 EN.
Hamid, S., Waycott, J., and Kurnia, S. (2011). Appropriating Online Social Networking (OSN) Activities for Higher Education : Two Malaysian Cases. 526–538.
Sibona.C., and Choi,J.(2012). Factors Affecting End-User Satisfaction on Facebook. Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media.2012.
Argan, M. (2010). Using Online Social Networking : Students ’ Purposes of Facebook Usage at the University of Turkey, (September 2010).
Cao, Y., Ajjan, H., and Hong, P. (2013). Using social media applications for educational outcomes in college teaching: A structural equation analysis. British Journal of Educational Technology, 44(4), 581–593.
Rouis, S., Limayem, M., and Salehi-sangari, E. (2011). Impact of Facebook Usage on Students’ Academic Achievement : Roles of Self-Regulation and Trust. 9(25), 961–994.
Arthurs, L., and Templeton, A. (2009). Coupled collaborative in-class activities and individual follow-up homework promote interactive engagement and improve student learning outcomes in a college-level Environmental Geology course. Journal of Geoscience Education, 57(5), 356–371.
Mustapha, R. (2010). Collaborative Strategic Reading with University EFL Learners.
Su, A., Yang, S., Hwang, W., and Zhang, J. (2010). A Web 2.0-based collaborative annotation system for enhancing knowledge sharing in collaborative learning environments. Computers & Education, 55(2), 752–766.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
Davis, F.D., (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13, 319–340.
Karaali, D., Gumussoy, C. A., and Calisir, F. (2011). Factors affecting the intention to use a web-based learning system among blue-collar workers in the automotive industry. Computers in Human Behavior. 27(1): 343-354.
Lee, Y., Hsieh, Y., and Ma C. (2010). A model of organizational employees’ e-learning systems acceptance. Knowledge-Based Systems. 24(3): 355-366.
Al-rahmi, W. M. Othman, M.S. Yusof, L.M and Musa. M.A. (2015). Using Social Media as a Tool for Improving Academic Performance through Collaborative Learning in Malaysian Higher Education. Review of European Studies, 7(3), p265.
Al-rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015). Social Media for Collaborative Learning and Engagement: Adoption Framework in Higher Education Institutions in Malaysia. Mediterranean Journal of Social Sciences,6(3 S1), 246.
Al-rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015). The Effect of Social Media on Researchers’ Academic Performance through Collaborative Learning in Malaysian Higher Education. Mediterranean Journal of Social Sciences, Vol 6 No 4(S1), 193.
Al-Rahmi ,W, Othman ,M and Musa, M. (2014). The Improvement of Students’ Academic Performance by Using Social Media through Collaborative Learning in Malaysian Higher Education. Asian Social Science; Vol. 10, No. 8; 2014.
Veer, R. and Valsiner, J. (1993). Understanding Vygotsky. Oxford, UK: Blackwell.
Jonassen, H., Howland, L., Moore, L., and Marra, M. (2003). Learning to solve problems with technology: A constructivist perspective. Upper Saddle Rover, NJ: Merrill Prentice Hall.
Jonassen, H., Howland, L., Moore, L., and Marra, M. (2003). Learning to solve problems with technology: A constructivist perspective. Upper Saddle Rover, NJ: Merrill Prentice Hall.
Johnson and Christensen (2010).educational research: quantitative, qualitative, and mixed approaches .university of south Alabama, SAGE Publications.
Fishbein, M., and Ajzen, I. (1975).Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, 1975.
Brooks, J.G. and M.G. Brooks. (1993).In search of understanding: the case for constructivist classrooms. Alexandria, VA: Association for Supervision and Curriculum Development.
Davis, F.D., (1993). User acceptance of information technology: system characteristics, user perceptions, and behavioral impacts. International Journal of Man Machine Studies 38, pp. 475–487.
Venkatesh, V., Morris, G., Davis, B., and Davis, D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Banks. (2006). Reflections on the use of ARS with small groups. In D. A. Banks (Ed.), Audience response systems in higher education (pp. 373–386). Hershey, PA: Information Science Publishing.
Guthrie, and Carlin (2004) .Waking the dead: using interactive technology to engage passive listeners in the classroom. In Proceedings of the AMCIS, paper 358. New York: August.
Carnaghan and Webb (2007). Investigating the effects of group response systems in student satisfaction, learning, and engagement in accounting education. Issues in Accounting Education, 22(3), 391–409.
Arcas, B L., Buil, I., Hernández-Ortega, B., and Sese, F. J. (2013). Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, 62, 102–110.
Al-Rahmi, W. and Othman, M. (2013).The Impact of Social Media use on Academic Performance among university students: A Pilot Study. Journal of information systems research and innovation 2013.
Alexander, R, (2009). An exploration of the relationship between student engagement and academic performance of undergraduate students in education.
Sanchez , Cortijo and Javed (2014).Students’ perceptions of Facebook for academic purposes. Computers & Education journal.
Mazman, S. G., and Usluel, Y. K. (2010). Modeling educational use of Facebook. Computers & Education, 55(2), 444–453. P10.
Al-Rahmi, W.M., and Zeki, M. A., (2016). A Model of Using Social Media for Collaborative Learning to enhance learners’ Performance on learning, Journal of King Saud University - Computer and Information Sciences, http://dx.doi.org/10.1016/j.jksuci.2016.09.002.
Davis, F.D., (1993). User acceptance of information technology: system characteristics, user perceptions, and behavioral impacts. International Journal of Man Machine Studies 38, pp. 475–487.
Venkatesh, V., and Davis, F. D. (2000).A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science (46:2), 2000, pp. 186-204.
Wixom, H., and Todd,A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.
Chang , H. H. and Wang, I. C. (2008).An investigation of user communication behavior in computer mediated environment. Computers in Human Behavior, vol. 24, no. 5, pp. 2336-2356, 2008.
Mazman, S. G., and Usluel, Y. K. (2010). Modeling educational use of Facebook. Computers & Education, 55(2), 444–453. P10.
Dewiyanti, S., Brand-Gruwel, S., Jochems, W., and Broers, N. J. (2007). Students’ experiences with collaborative learning in asynchronous computer-supported collaborative learning environments. Computers in Human Behavior, 23, 496–514.
Arnold, N. and Paulus, T. (2010). Using a social networking site for experiential learning: Appropriating, lurking, modeling and community building. Internet and Higher Education, 13, 188-196.
Karpinski, C., Kirschner, P., Ozer, I., Mellott, J., and Ochwo, P. (2013). An exploration of social networking site use, multitasking, and academic performance among United States and European university students. Computers in Human Behavior, 29(3), 1182–1192.
DOI: http://dx.doi.org/10.23960/ins.v1i1.17
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