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The proliferation of social media over the past two decades has compelled the educators and researchers to explore the ways and means by which these technologies have affected the education system. One of the main challenges is to assess the perceptions of the various stakeholders involved. The purpose of this study is to build a model that assesses the perceptions of pre-service teachers toward the educational usage of social media. Applying the chief tenets of Uses and Gratification theory a structural model was extended by incorporating a new construct, Motivational Influence. The model examines the relationships among the constructs that are associated with the educational usage of social media. The reliability, validity, and the hypothesized relationships were tested using Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modeling, and path analysis. The findings suggest that the proposed new construct Motivational Influence is the most important factor in anticipating the adoption of social media. The results also indicate that the educational usage of social media is directly explained by purposes of social media usage and indirectly by social media adoption. The proposed structural model also explained 69.1% of the variance in the educational usage of social media and displayed a good fit with the data. Practical and research implications of the findings were also discussed.
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. CrossRef
Al-Rahmi, W. M., & Zeki, A. M. (2017). A model of using social media for collaborative learning to enhance learners’ performance on learning. Journal of King Saud University- Computer and Information Sciences, 29, 526–535. https://doi.org/10.1016/j.jksuci.2016.09.002. CrossRef
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411. CrossRef
Armstrong, C., & McAdams, M. (2009). Blogs of information: How gender cues and individual motivations influence perceptions of credibility. Journal of Computer Mediated Communication, 14(3), 435–456. https://doi.org/10.1111/j.1083-6101.2009.01448.x. CrossRef
Arteaga Sánchez, R., Cortijo, V., & Javed, U. (2014). Students’ perceptions of Facebook for academic purposes. Computers & Education, 70, 138–149. https://doi.org/10.1016/j.compedu.2013.08.012. CrossRef
Asterhan, C. S. C., & Rosenberg, H. (2015). The promise, reality and dilemmas of secondary school teacher-student interactions in Facebook: The teacher perspective. Computers & Education, 85, 134–148. https://doi.org/10.1016/j.compedu.2015.02.003. CrossRef
Augustsson, G. (2010). Web 2.0, pedagogical support for reflexive and emotional social interaction among Swedish students. The Internet and Higher Education, 13(4), 197–205. https://doi.org/10.1016/j.iheduc.2010.05.005. CrossRef
Baltaci-Goktalay, S., & Ozdilek, Z. (2010). Pre-service teachers’ perceptions about web 2.0 technologies. Procedia Social and Behavioral Sciences, 2(2), 4737–4741. https://doi.org/10.1016/j.sbspro.2010.03.760. CrossRef
Bandura, A. (1971). Social learning theory. New York: General Learning Press.
Belanche, D., Casalo, L. V., & Flavian, C. (2012). Integrating trust and personal values into the technology acceptance model: The case of e-government services adoption. Cuadernos de Economía y Dirección de la Empresa, 15, 192–204. https://doi.org/10.1016/j.cede.2012.04.004. CrossRef
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validity in the multitrait–multimethod matrix. Psychological Bulletin, 56(2), 81–105. CrossRef
Chen, B., & Bryer, T. (2012). Investigating instructional strategies for using social media in formal and informal learning. The International Review of Research in Open and Distance Learning, 13(1), 87–100. CrossRef
Cheung, C. M. K., Chiu, P. Y., & Lee, M. K. O. (2011). Online social networks: Why do students use facebook? Computers in Human Behavior, 27(4), 1337–1343. https://doi.org/10.1016/j.chb.2010.07.028. CrossRef
Chong, A. Y. L. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40(4), 1240–1247. https://doi.org/10.1016/j.eswa.2012.08.067. CrossRef
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10(7), 1–9.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340. CrossRef
Deci, E. L. (1972). Intrinsic motivation, extrinsic reinforcement, and inequity. Journal of Personality and Social Psychology, 22, 113–120. CrossRef
Deng, L., & Yuen, H. K. (2011). Towards a framework for educational affordances of blogs. Computers & Education, 56(2), 441–451. https://doi.org/10.1016/j.compedu.2010.09.005. CrossRef
Dhir, A., Khalil, A., Lonka, K., & Tsai, C. C. (2017). Do educational affordances and gratifications drive intensive Facebook use among adolescents? Computers in Human Behavior, 68, 40–50. https://doi.org/10.1016/j.chb.2016.11.014. CrossRef
Fishbein, M. (1980). A theory of reasoned action: Some applications and implications. In H. E. Howe & M. M. Page (Eds.), Nebraska symposium on motivation (pp. 65–116). Lincoln, NE: University of Nebraska Press.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. CrossRef
Gallego, M. D., Bueno, S., & Noyes, J. (2016). Second life adoption in education: A motivational model based on uses and gratifications theory. Computers & Education, 100, 81–93. https://doi.org/10.1016/j.compedu.2016.05.001. CrossRef
Gan, C., & Li, J. (2018). Understanding the effects of gratifications on the continuance intention to use WeChat in China: A perspective to uses and gratifications. Computers in Human Behavior, 78, 306–315. https://doi.org/10.1016/j.chb.2017.10.003. CrossRef
Gefen, D., & Straub, D. W. (2005). A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16, 91–109.
Gerlich, R. N., Browning, L., & Westermann, L. (2010). The social media affinity scale: Implications for education. Contemporary Issues in Education Research, 3(11), 35–42. CrossRef
Goodwin, L. D. (1999). The role of factor analysis in the estimation of construct validity. Measurement in Physical Education and Exercise Science, 3(2), 85–100. CrossRef
Gross, E. F. (2004). Adolescent internet use: What we expect, what teens report. Applied Developmental Psychology, 25, 633–649. https://doi.org/10.1016/j.appdev.2004.09.005. CrossRef
Henderson, M., Auld, G., & Johnson, N. F. (2014). Ethics of teaching with social media. In Paper presented at the Australian computers in education conference 2014, Adelaide, SA.
Hurley, A. M., Scandura, T. A., Schriesheim, C. A., Brannick, M. T., Seers, A., Vandenberg, R. J., et al. (1997). Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives. Journal of Organizational Behavior, 18(6), 667–683. https://doi.org/10.1002/(SICI)1099-1379(199711)18:6%3C667::AID-JOB874%3E3.0.CO;2-T. CrossRef
Hussain, I. (2012). A study to evaluate the social media trends among university students. Procedia- Social and Behavioral Sciences, 64, 639–645. https://doi.org/10.1016/j.sbspro.2012.11.075. CrossRef
Junco, R., Heiberger, G., & Loken, E. (2011). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted learning, 27, 119–132. https://doi.org/10.1111/j.1365-2729.2010.00387.x. CrossRef
Kaba, B., & Touré, B. (2014). Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country. Journal of the Association for Information Science and Technology, 65(8), 1662–1674. https://doi.org/10.1002/asi.23069. CrossRef
Kaplan, D. (2009). Structural equation modeling: Foundations and extensions (2nd ed.). Newbury Park, CA: Sage. CrossRef
Katz, E., Blumer, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19–34). London: SAGE.
Kim, Y., Kim, Y., Wang, Y., & Lee, N. Y. (2016). Uses and gratifications, journalists’ Twitter use, and relational satisfaction with the public. Journal of Broadcasting & Electronic Media, 60(3), 503–526. https://doi.org/10.1080/08838151.2016.1164171. CrossRef
Kim, C., Lee, S.-G., & Kang, M. (2012). I became an attractive person in the virtual world: Users’ identification with virtual communities and avatars. Computers in Human Behavior, 28(5), 1663–1669. https://doi.org/10.1016/j.chb.2012.04.004. CrossRef
Kline, R. B. (2011). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
Lee, D. C., Lin, S. H., Ma, H. L., & Wu, D. B. (2017). Use of a modified UTAUT model to investigate the perspectives of internet access device users. International Journal of Human–Computer Interaction, 33(7), 549–564. https://doi.org/10.1080/10447318.2016.1261249. CrossRef
Lee, C. S., & Ma, L. (2012). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 28, 331–339. https://doi.org/10.1016/j.chb.2011.10.002. CrossRef
Lei, J. (2009). Digital natives as preservice teachers: What technology preparation is needed? Journal of Computing in Teacher Education, 25(3), 87–97.
Li, H., Liu, Y., Xu, X., Heikkilä, J., & Van Der Heijden, H. (2015). Modeling hedonic is continuance through the uses and gratifications theory: An empirical study in online games. Computers in Human Behavior, 48, 261–271. https://doi.org/10.1016/j.chb.2015.01.053. CrossRef
Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161. https://doi.org/10.1016/j.chb.2010.12.009. CrossRef
Luo, M. M., Chea, S., & Chen, J.-S. (2011). Web-based information service adoption: A comparison of the motivational model and the uses and gratifications theory. Decisions Support Systems, 51, 21–30. https://doi.org/10.1016/j.dss.2010.11.015. CrossRef
Luo, M. M., & Remus, W. (2014). Uses and gratifications and acceptance of Web-based information services: An integrated model. Computers in Human Behavior, 38, 281–295. https://doi.org/10.1016/j.chb.2014.05.042. CrossRef
Manca, S., & Ranieri, M. (2016). Facebook and the others. Potentials and obstacles of Social media for teaching in higher education. Computers & Education, 95, 216–230. https://doi.org/10.1016/j.compedu.2016.01.012. CrossRef
Mazman, S. G., & Usluel, Y. K. (2010). Modeling educational use of Facebook. Computers & Education, 55(2), 444–453. https://doi.org/10.1016/j.compedu.2010.02.008. CrossRef
Mills, L. A., Knezek, G. A., & Wakefield, J. S. (2013). Learning with social media: Measurement tools for understanding information behavior in technology pervasive environments of the 21st century. In iConference 2013 proceedings (pp. 593–600). https://doi.org/10.9776/13286.
Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250–267. https://doi.org/10.1016/j.compedu.2004.11.007. CrossRef
Noel, L. (2015). Using blogs to create a constructivist learning environment. Procedia - Social and Behavioral Sciences, 174, 617–621. https://doi.org/10.1016/j.sbspro.2015.01.591. CrossRef
Ottenbreit-Leftwich, A., Glazewski, K., Newby, T., & Ertmer, P. (2010). Teacher value beliefs associated with using technology: Addressing professional and student needs. Computers & Education, 55, 1321–1335. https://doi.org/10.1016/j.compedu.2010.06.002. CrossRef
Papacharissi, Z., & Mendelson, A. (2011). Toward a new(er) sociability: Uses, gratifications and social capital on Facebook. In S. Papathanassaopoulos (Ed.), Media perspectives for the 21st century (pp. 212–230). New York: Routledge.
Park, N. (2010). Adoption and use of computer-based voice over internet protocol phone service: Towards an integrated model. Journal of Communication, 60, 40–72. https://doi.org/10.1111/j.1460-2466.2009.01440.x. CrossRef
Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. A. (2009). College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227–238. https://doi.org/10.1016/j.appdev.2008.12.010. CrossRef
Phua, J., Jin, S. V., & Kim, J. (2017). Gratifications of using Facebook, Twitter, Instagram, or Snapchat to follow brands: The moderating effect of social comparison, trust, tie strength, and network homophily on brand identification, brand engagement, brand commitment, and membership intention. Telematics and Informatics, 34, 412–424. https://doi.org/10.1016/j.tele.2016.06.004. CrossRef
Priyadarshinee, P., Raut, R. D., Jha, M. K., & Gardas, B. B. (2017). Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM—Neural networks approach. Computers in Human Behavior, 76, 341–362. https://doi.org/10.1016/j.chb.2017.07.027. CrossRef
Roblyer, M. D., McDaniel, M., Webb, M., Herman, J., & Witty, J. V. (2010). Findings on Facebook in higher education: A comparison of college faculty and student uses and perceptions of social networking sites. The Internet and Higher Education, 13(3), 134–140. https://doi.org/10.1016/j.iheduc.2010.03.002. CrossRef
Rogers, E. M. (1962). Diffusion of innovations. New York: The Free Press.
Roy, S. K. (2009). Internet uses and gratifications: A survey in the Indian context. Computers in Human Behavior, 25, 878–886. https://doi.org/10.1016/j.chb.2009.03.002. CrossRef
Ruggiero, T. (2000). Uses and gratification theory in the 21st century. Mass Communication & Society, 3(1), 3–37. CrossRef
Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring pre-service teachers’ beliefs about using Web 2.0 technologies in K-12 classroom. Computers & Education, 59(3), 937–945. https://doi.org/10.1016/j.compedu.2012.04.001. CrossRef
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates. CrossRef
Sendurur, P., Sendurur, E., & Yilmaz, R. (2015). Examination of the social networking sites usage patterns of pre-service teachers. Computers in Human Behavior, 51, 188–194. https://doi.org/10.1016/j.chb.2015.04.052. CrossRef
Smith, E. E. (2016). “A real double-edged sword:” Undergraduate perceptions of social media in their learning. Computers & Education, 103, 44–58. https://doi.org/10.1016/j.compedu.2016.09.009. CrossRef
Statista INC. (2017). Daily time spent on social networking by internet users worldwide from 2012–2017 (in minutes). New York: Statista Inc. Retrieved June 01, 2017 from https://www.statista.com/statistics/433871/daily-social-media-usageworldwide/.
Tajfel, H., & Turner, J. C. (1986). The social identity theory of inter-group behavior. In S. Worchel & L. W. Austin (Eds.), Psychology of intergroup relations. Chicago: Nelson-Hall.
Tasir, Z., Al-Dheleai, Y., Harun, J., & Shukor, A. N. (2011). Students perception towards the use of social networking as an e-learning platform. In Proceedings of the 10th WSEAS international conference on education and educational technology ‘11. China.
Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302–312. https://doi.org/10.1016/j.compedu.2008.08.006. CrossRef
Teo, T., & Noyes, J. (2014). Explaining the intention to use technology among pre-service teachers: A multi-group analysis of the unified theory of acceptance and use of technology. Interactive Learning Environments, 22(1), 51–66. https://doi.org/10.1080/10494820.2011.641674. CrossRef
Tess, P. A. (2013). The role of social media in higher education classes (real and virtual)—A literature review. Computers in Human Behavior, 29(5), A60–A68. https://doi.org/10.1016/j.chb.2012.12.032. CrossRef
Tondeur, J., van Braak, J., Sang, G., Voogt, J., Fisser, P., & Ottenbreit-Leftwich, A. (2012). Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence. Computers & Education, 59(1), 134–144. https://doi.org/10.1016/j.compedu.2011.10.009. CrossRef
Valtonen, T., Hacklin, S., Kontkanen, S., Hartikainen-Ahia, A., Kärkkäinen, S., & Kukkonen, J. (2013). Pre-service teachers’ experiences of using social software applications for collaborative inquiry. Computers & Education, 69, 85–95. https://doi.org/10.1016/j.compedu.2013.07.001. CrossRef
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.126.96.36.19926. CrossRef
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. CrossRef
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Won, S. G. L., Evans, M. A., Carey, C., & Schnittka, C. G. (2015). Youth appropriation of social media for collaborative and facilitated design-based learning. Computers in Human Behavior, 50, 385–391. https://doi.org/10.1016/j.chb.2015.04.017. CrossRef
Yuen, S. C.-Y., Yaoyuneyong, G., & Yuen, P. K. (2011). Perceptions, interest, and use: Teachers and web 2.0 tools in education. International Journal of Technology in Teaching and Learning, 7(2), 109–123.
Zikmund, W. G. (2003). Business research methods (7th ed.). Ohio: Thomson South-Western.
- Modeling educational usage of social media in pre-service teacher education
- Springer US
Journal of Computing in Higher Education
Research & Integration of Instructional Technology
Print ISSN: 1042-1726
Elektronische ISSN: 1867-1233
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