Abstract
This study investigated the factors that affect the intention to use social media for learning among students from the higher learning institutions. A Social Media Acceptance Model was developed by adapting factors from the Unified Theory of Acceptance and Use of Technology and the E-Learning Acceptance Model (ELAM). A total of 300 students (M age = 25.9, SDage = 4.28) participated in an online survey. Both exploratory and confirmatory factor analyses revealed six factors that affect the intention to use social media for learning: self, information and communication technology (ICT) facility, collectivism, communication functionality, effort/influence and performance. However, the effects of ICT facility and collectivism were found to be insignificant. Self had the strongest effect on intention to use social media for learning. The overall model estimation was found to be approximately 71 %. However, results also revealed that although their intention to use social media learning is high, they do not actually use the media for learning. The students are generally receptive to use social media for learning; hence, academics and tertiary institutions should capitalize on the students’ enthusiasm and encourage or implement policies that incorporate social media as part of teaching and learning activities.
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AlAwadhi, S., Morris, A.: The use of the UTAUT model in the adoption of e-government services in Kuwait. In: Proceedings of the 41st Hawaii International Conference on System Sciences, Hawaii (2008)
Ayeh, J.K., Au, N., Law, R.: Towards an understanding of online travellers’ acceptance of consumer-generated media for travel planning: integrating technology acceptance and source credibility factors, information and communication technologies in tourism. In: Proceedings of the International Conference in Innsbruck, Austria, pp. 254–267 (2013)
Baker, L., Oswald, D.: Shyness and online social networking services. J. Soc. Personal. Relat. 27(7), 1–21 (2010)
Balakrishnan, V., Liew, T.K., Pourgholaminejad, S.: Fun learning with edooware—a social media enabled tool. Comput. Educ. 80, 39–47 (2015)
Bandura, A.: Self-efficacy: toward a unifying theory of behavioral change. Psychol. Rev. 84(2), 191–215 (1977)
Başgöze, P., Özer, L.: Effects of brand credibility on technology acceptance model: adaption of the model to the purchase intention. Int. J. Humanit. Soc. Sci. 2(20), 292–298 (2012)
Bosch, T.E.: Using online social networking for teaching and learning: Facebook use at the University of Cape Town. Communication 35(2), 185–2009 (2009)
Brown, S., Adler, R.P.: Minds on fire. Open education, the long trail, and learning 2.0. Educause 43, 17–32 (2008)
Chin, W.W.: The partial least squares approach to structural equation modeling. In: Marcoulides, G.A. (ed.) Modern Methods for Business Research, pp. 295–336. Lawrence Erlbaum and Associates, Mahwah (1998)
Churchill, D.: Educational applications of Web 2.0: using blogs to support teaching and learning. Br. J. Educ. Technol. 40(1), 179–183 (2009)
Clark, C., Dugdale, G.: Young people’s writing: attitudes, behaviour and the role of technology. National Literacy Trust (Report), pp. 3–52 (2009)
Clifton, A., Mann, C.: Can YouTube enhance student nurse learning? Nurs. Educ. Today 31, 311–313 (2010)
Cox, T., Lobel, S., McLeod, P.: Effects of ethnic group cultural differences on cooperative and competitive behavior on a group task. Acad. Manag. J. 34(4), 827–847 (1991)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Dunn, J.: The 20 best learning management systems (2012). http://www.edudemic.com/the-20-best-learning-management-systems/
Ellison, N.B., Wu, Y.: Blogging in the classroom: a preliminary exploration of student attitudes and impact on comprehension. J. Educ. Multim. Hypermedia 17(1), 99–122 (2008)
Escobar-Rodríguez, T., Carvajal-Trujillo, E., Monge-Lozano, P.: Factors that influence the perceived advantages and relevance of Facebook as a learning tool: an extension of the UTAUT. Australas. J. Educ. Technol. 30(2), 136–151 (2014)
Everson, M., Gundlach, E., Miller, J.: Social media and the introductory statistics course. Comput. Hum. Behav. 29(5), A69–A81 (2013)
Falk, R.F., Miller, N.: A Primer for Soft Modelling. University of Akron Press, Akron (1992)
Farquhar, P.H.: Managing brand equity. J. Advert. Res. 30(4), 7–12 (1990)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
Franz, A.K.: Organic chemistry YouTube writing assignment for large lecture classes. J. Chem. Educ. 89(4), 497–501 (2011)
Gefen, D., Straub, D.W., Boudreau, M.C.: Structural equation modeling and regression: guidelines for research practice. Commun. Assoc. Inf. Syst. 4(7), 1–70 (2000)
Grandon, E., Alshare, K., Kwun, O.: Factors influencing student intention to adopt online classes: a cross-cultural study. J. Comput. Sci. Coll. 20(4), 46–56 (2005)
Gray, K., Annabell, L., Kennedy, G.: Medical students’ use of Facebook to support learning: insights from four case studies. Med. Teach. 32, 971–976 (2010)
Greenhow, C., Robelia, B., Hughes, J.: Learning, teaching, and scholarship in a digital age web 2.0 and classroom research: what path should we take now? Educ. Res. 38, 246–259 (2009)
Hair, J.F., Christian, M.R., Sarstedt, M.: PLS-SEM: indeed a silver bullet. J. Mark. Theory Pract. 19(2), 139–151 (2011)
Hamid, S., Waycott, J., Chang, S., Kurnia, S.: Understanding students’ perceptions of the benefits of online social networking use for teaching and learning. Internet High. Educ. 26, 1–9 (2015)
Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structured equation modelling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)
Hofstede, G.: Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations. Sage, Thousand Oaks (2001)
Hulland, J.: Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strateg. Manag. J. 20(2), 195–204 (1999)
Hung, H.T., Yuen, S.C.Y.: Educational use of social networking technology in higher education. Teach. High. Educ. 15(6), 703–714 (2010)
Ibrahim, R., Khalil, K., Jaafar, A.: Towards educational games acceptance model (EGAM): a revised unified theory of acceptance and use of technology (UTAUT). Int. J. Res. Rev. Comput. Sci. 2(3), 839–845 (2011)
Jaffar, A.A.: YouTube: an emerging tool in anatomy education. Anat. Sci. Educ. 5(3), 158–164 (2012)
Jones, N., Blackey, H., Fitzgibbon, K., Chew, E.: Get out of MySpace! Comput. Educ. 54(3), 776–782 (2010)
Kim, S., Garrison, G.: Investigating mobile wireless technology adoption: an extension of the technology acceptance model. Inf. Syst. Front. 11(3), 323–333 (2009)
Kirschner, P.A., Karpinski, A.C.: Facebook® and academic performance. Comput. Hum. Behav. 26(6), 1237–1245 (2010)
Kirschner, P.A., van Merrinboer, J.J.G.: Do learners really know best? Urban legends in education. Educ. Psychol. 48(3), 169–183 (2013)
Kolek, E.A., Saunders, D.: Online disclosure: an empirical examination of undergraduate Facebook profiles. NASPA J. 45(1), 1–25 (2008)
Krauskopf, K., Zahn, C., Hesse, F.W.: Leveraging the affordances of Youtube: the role of pedagogical knowledge and mental models of technology functions for lesson planning with technology. Comput. Educ. 58(4), 1194–1206 (2012)
Lai, H.M., Chen, C.P.: Factors influencing secondary school teachers’ adoption of teaching blogs. Comput. Educ. 56(4), 948–960 (2011)
Lee, M.K.O., Cheung, C.M.K., Chen, Z.: Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation. Inf. Manag. 42(8), 1095–1104 (2005)
Lichtenstein, S., Williamson, K.: Understanding consumer adoption of internet banking: an interpretive study in the Australian banking context. J. Electron. Commer. Res. 7(2), 50–66 (2006)
Madge, C., Meek, J., Wellens, J., Hooley, T.: Facebook, social integration and informal learning at university: ‘It is more for socialising and talking to friends about work than for actually doing work’. Learn. Media Technol. 34(2), 141–155 (2009)
Marchewka, J.T., Liu, C., Kostiwa, K.: An application of the UTAUT model for understanding student perceptions using course management software. Commun. IIMA 7(2), 93–104 (2007)
Mazer, J.P., Murphy, R.E., Simonds, C.J.: The effects of teacher self disclosure via Facebook on teacher credibility. Learn. Media Technol. 34(2), 175–183 (2009)
McCarthy, J.: Learning in Facebook: first year tertiary student reflections from 2008 to 2011. Australas. J. Educ. Technol. 29(3), 337–356 (2013)
Moran, M., Seaman, J., Tinti-Kane, H.: Teaching, learning, and sharing: how today’s higher education faculty use social media. Babson Survey Research Group (2011)
Munoz, C., Towner, T.: Opening Facebook: how to use Facebook in the college classroom. In: Gibson, I. et al. (eds.) Proceedings of Society for Information Technology and Teacher Education International Conference, pp. 2623–2627 (2009)
Ophus, J.D., Abbitt, J.T.: Exploring the potential perceptions of social networking systems in university courses. J. Online Learn. Teach. 5(4), 639–648 (2009)
Oye, N.D., Iahad, A.N., Rahim, N.: Acceptance and usage of ICT by university academicians using UTAUT model: a case study of University of Port Harcourt, Nigeria. J. Emerg. Trends Comput. Inf. Sci. 3(1), 81–89 (2012)
Pempek, T.A., Yermolayeva, Y.A., Calvert, S.L.: College students’ social networking experiences on Facebook. J. Appl. Dev. Psychol. 30, 227–238 (2009)
Pfeil, U., Arjan, R., Zaphiris, P.: Age differences in online social networking—a study of user profiles and the social capital divide among teenagers and older users in MySpace. Comput. Hum. Behav. 25, 643–654 (2009)
Pituch, K.A., Lee, Y.: The influence of system characteristics on e-learning use. Comput. Educ. 47(2), 222–244 (2006)
Raacke, J., Bonds-Raacke, J.: MySpace and Facebook: applying the uses and gratifications theory to exploring friend-networking sites. CyberPsychol. Behav. 11, 169–174 (2008)
Rambe, P.: Converged social media: identity management and engagement on Facebook mobile and blogs. Australas. J. Educ. Technol. 29(3), 315–336 (2013)
Rambe, P.: Activity theory and technology mediated interaction: cognitive scaffolding using question-based consultation on Facebook. Australas. J. Educ. Technol. 28(8), 1333–1361 (2012)
Ringle, C.M., Wende, S., Will, A.: SmartPLS 2.0 M3. University of Hamburg, Hamburg (2007)
Roberts, L.D., Smith, L.M., Pollock, C.M.: U r a lot bolder on the net: shyness and internet use. In: Crozier, W.R. (ed.) Shyness: Development, Consolidation and Change, pp. 121–138. Routledge, New York (2000)
Robertson, J.: The educational affordances of blogs for self-directed learning. Comput. Educ. 57(2), 1628–1644 (2011)
Roblyer, M.D., McDaniel, M., Webb, M., Herman, J., Witty, J.: Findings on Facebook in higher education: a comparison of college faculty and student uses and perceptions of social networking sites. Internet High. Educ. 13, 134–140 (2010)
Srite, M., Thatcher, J.B., Galy, E.: Does within-culture variation matter? An empirical study of computer usage. J. Glob. Inf. Manag. 16(1), 1–25 (2008)
Umrani-Khan, F., Iyer, S.: ELAM: a model for acceptance and use of e-learning by teachers and students. In Proceedings of the International Conference on e-Learning, Institute of Technology Bombay, Mumbai, India (pp. 475–485) (2009)
Veletsianos, G., Navarrete, C.: Online social networks as formal learning environments: learner experiences and activities. Int. Rev. Res. Open Distance Learn. 13(1), 144–166 (2012)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Wold, H.: Partial least squares. In: Kotz, S., Johnson, N.L. (eds.) Encyclopedia of Statistical Sciences, pp. 581–591. Wiley, New York (1985)
Yang, S.: Using blogs to enhance critical reflection and community of practice. Educ. Technol. Soc. 12(2), 11–21 (2009)
Yuen, A.H.K., Ma, W.W.K.: Exploring teacher acceptance of e-learning technology. Asia-Pacific J. Teach. Educ. 36(3), 229–243 (2008)
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The author extends her gratitude to University of Malaya for supporting this study (RP028A-14AET).
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Balakrishnan, V. Key determinants for intention to use social media for learning in higher education institutions. Univ Access Inf Soc 16, 289–301 (2017). https://doi.org/10.1007/s10209-016-0457-0
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DOI: https://doi.org/10.1007/s10209-016-0457-0