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The aim of this paper is to identify adoption factors of mobile wireless technology to increase interactivity between lecturers and students during lectures. A theoretical framework to ascertain lecturers’ intentions to use mobile wireless technology during lectures (dependent variable) is proposed with seven independent variables. The independent variables were ease of use and usefulness from Technology Acceptance Model; trust from Wireless Internet via Mobile Devices model and Mobile Services Acceptance Model; self-efficacy from Social Cognitive Theory; enjoyment from Motivational Model; social influence from Unified Theory of Acceptance and Use of Technology; and uncertainty avoidance from Geert Hofstede’s cultural dimensions (Hofstede et al. in Cultures and organizations: software of the mind, 3rd edn. McGraw-Hill, New York, 2010). Four lecture observations were conducted and interaction barriers identified. Interviews with 22 selected lecturers were conducted to elicit perceptions of mobile wireless technology use during lectures and validate the framework’s variables. Interview results from thematic analysis strongly validated mobile wireless technology’s usefulness as a supporting, collaboration and real-time interaction tool, especially among introvert students. Ease of use, self-efficacy and enjoyment are supported through familiarity with mobile wireless technology. Majority of the respondents are apprehensive that mobile wireless technology might cause disruptions during lectures, with concerns of redundancy, dependency and misuses amongst students (attributes of uncertainty avoidance). None of the respondents are currently using mobile wireless technology for interaction during lectures, thus lending credence to social influence. Very few respondents agree that use of mobile wireless technology can reduce students’ boredom and make lectures more enjoyable, and few perceive intermittent wireless connection will affect user trust. Knowledge of significant mobile wireless technology adoption factors and concerns may be important and applicable to tertiary education in Malaysia.
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Adams, D., Nelson, R., & Todd, P. (1992). Perceived usefulness, ease of use and usage of information technology: A replication. MIS Quarterly, 16(2), 227–247. CrossRef
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. CrossRef
Allen, D., & Tanner, K. (2005). Infusing active learning into the large-enrollment biology class: Seven strategies, from the simple to complex. Cell Biology Education, 4(4), 262–268. CrossRef
Alzaza, N. S., & Yaakub, A. R. (2011). Students’ awareness and requirements of mobile learning services in the higher education environment. American Journal of Economics and Business Administration, 3(1), 95–100. CrossRef
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. CrossRef
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26. CrossRef
Bandyopadhyay, K., & Fraccastoro, K. A. (2007). The effect of culture on user acceptance of information technology. Communications of the Association for Information Systems, 19(522–543), 23.
Beekes, W. (2006). The ‘Millionaire’ method for encouraging participation. Active Learning in Higher Education, 7(1), 25–36. CrossRef
Berg, B. L. (2000). Qualitative research methods for the social science. Boston, MA: Allyn and Bacon.
Bryman, A., & Burgess, R. G. (1998). Qualitative Research: Sage Publication. CA: Thousand Oaks.
Cheng, D., Liu, G, Song, Y. F., and Qian, C. (2008). Adoption of Internet banking: An integrated model. Paper presented at the 4th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM ‘08), Dalian. Conference Publications retrieved from.
Chong, J. L., Chong, A. Y. L., Ooi, K. B., & Lin, B. (2011). An empirical analysis of the adoption of m-learning in Malaysia. International Journal of Mobile Communications, 9(1), 1–18. CrossRef
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. CrossRef
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. CrossRef
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A 10-year update. Journal of Management Information Systems, 19(4), 9–30.
d’Inverno, R., Davis, H., & White, S. (2003). Using a personal response system for promoting student interaction. Teaching Mathematics Applications, 22(4), 163–169. CrossRef
Dobson-Mitchell, S. (2011). Are big classes really a problem? Retrieved April 10, 2013, from http://oncampus.macleans.ca/education/2011/12/16/are-big-classes-really-a-problem/.
Domagk, S., Schwartz, R. N., & Plass, J. L. (2010). Interactivity in multimedia learning: An integrated model. Computers in Human Behavior, 26(5), 1024–1033. CrossRef
Doran, M. S., & Golen, S. (1998). Identifying communication barriers to learning in large group accounting instruction. Journal of Education for Business, 73(4), 221–224. CrossRef
Draper, S. W., and Brown, M. I. (2002). Use of the PRS (Personal Response System) handsets at Glasgow University, Interim Evaluation Report: March 2002 Retrieved Nov 15, 2012, from http://www.psy.gla.ac.uk/~steve/evs/interim.html.
Eckhardt, A., Laumer, S., & Weitzel, T. (2009). Who influences whom? Analyzing workplace referents’ social influence on IT adoption and non-adoption. Journal of Information Technology Education: Innovations in Practice, 24(1), 11–24. CrossRef
Fishbein, M., & Azjen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gao, S., Moe, S. P., and Krogstie, J. (2010, 13-15 June). An empirical test of the mobile services acceptance model. Paper presented at the 2010 Ninth Global Mobility Roundtable.
Gartner, Inc. (2013). Gartner Says Mobility Is Reshaping Consumer Gadget Spending and Behavior. Retrieved September 8, 2013, from http://www.gartner.com/newsroom/id/2370215.
Grandon, E. E., Alshare, K., & Kwun, O. (2005). Factors influencing student intention to adopt online classes: A cross-cultural study. Journal of Computing Sciences in Colleges, 20(4), 46–56.
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. CrossRef
Halloran, L. (1995). A comparison of two methods of teaching: computer managed instruction and keypad questions versus traditional classroom lecture. Computers in Nursing, 13(6), 285–288.
Hendrickson, A. R., Massey, P. D., & Cronan, T. P. (1993). On the test-retest reliability of perceived usefulness and perceived ease of use scale. MIS Quarterly, 17(2), 227–230. CrossRef
Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). New York, USA: McGraw-Hill.
Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343–367. CrossRef
JuniperNetworks. (2012). Global survey reveals mobile technology adoption at risk if consumer trust not addressed. Retrieved September 10, 2013, from http://investor.juniper.net/investor-relations/press-releases/press-release-details/2012/Global-Survey-Reveals-Mobile-Technology-Adoption-at-Risk-If-Consumer-Trust-Not-Addressed/default.aspx.
Kabilan, M. K., Ahmad, N., & Abidin, M. J. Z. (2010). Facebook: An online environment for learning of English in institutions of higher education? The Internet and Higher Education, 13(4), 179–187. CrossRef
Kim, S. (2008). Appropriation of wireless technology: Direct impacting factors on the youth`s adoption intention and usage of the wireless application protocol phone. Information Technology Journal, 7(8), 1116–1124. CrossRef
Kim, S., & Garrison, G. (2009). Investigating mobile wireless technology adoption: An extension of the technology acceptance model. Information Systems Frontiers, 11(3), 323–333. CrossRef
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation. Information and Management, 42(8), 1095–1104. CrossRef
Lin, C. P., & Anol, B. (2008). Learning online social support: an investigation of network information technology based on UTAUT. CyberPsychology and Behavior, 11(3), 268–272. CrossRef
Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206–222. CrossRef
Mahat, J., Ayub, A. F. M., & Luan, S. (2012). An assessment of students’ mobile self-efficacy, readiness and personal innovativeness towards mobile learning in higher education in Malaysia. Procedia-Social and Behavioral Sciences, 64, 284–290. CrossRef
Mäntymäki, M., & Salo, J. (2011). Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel. Computers in Human Behavior, 27(6), 2088–2097. CrossRef
Moreno, R., & Mayer, R. (2007). Interactive multimodal learning environments. Educational Psychology Review, 19(3), 309–326. CrossRef
Nath, R., & Murthy, N. R. V. (2004). A study of the relationship between Internet diffusion and culture. Journal of International Technology and Information Management, 13(2), 123–132.
Paladino, A. (2008). Creating an interactive and responsive teaching environment to inspire learning. Journal of Marketing Education, 30(3), 185–188. CrossRef
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology and Society, 12(3), 150–162.
Parveen, F., & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless Internet using mobile devices in Malaysia. International Review of Business Research Papers, 4(5), 1–10.
Pituch, K. A., & Lee, Y. K. (2006). The influence of system characteristics on e-learning use. Computers and Education, 47(2), 222–244. CrossRef
Poirier, C. R., & Feldman, R. S. (2007). Promoting active learning using individual response technology in large introductory psychology classes. Teaching of Psychology, 34(3), 194–196. CrossRef
Pollock, S. J. (2006). Transferring transformations: learning gains, student attitudes, and the impacts of multiple instructors in large lecture courses. AIP Conference Proceedings, 818(1), 141–144. CrossRef
Renkl, A., & Atkinson, R. K. (2007). Interactive learning environments: Contemporary issues and trends. An introduction to the special issue. Educational Psychology Review, 19(3), 235–238. CrossRef
Saadé, R. G., Nebebe, F., & Tan, W. (2007). Viability of the “technology acceptance model” in multimedia learning environments: A comparative study. Interdisciplinary Journal of Knowledge and Learning Objects, 3, 175–184.
Sabry, K., & Barker, J. (2009). Dynamic interactive learning systems. Innovations in Education and Teaching International, 46(2), 185–197. CrossRef
Scott, W. E., Farh, J., & Podaskoff, P. M. (1988). The effects of “intrinsic” and “extrinsic” reinforcement contingencies on task behavior. Organizational Behavior and Human Decision Processes, 41(3), 405–425. CrossRef
Shen, R., Wang, M., Gao, W., Noval, D., & Tang, L. (2009). Mobile learning in a large blended computer science classroom: System function, pedagogies, and their impact on learning. IEEE Transactions on Education, 52(4), 538–546. CrossRef
Shin, D. H. (2009). Determinants of customer acceptance of multi-service network: An implication for IP-based technologies. Information and Management, 46(1), 16–22. CrossRef
Singer, D., Avery, A., & Baradwaj, B. (2008). Management innovation and cultural adaptivity in international online banking. Management Research News, 31(4), 258–272. CrossRef
Subramanian, G. H. (1994). A replication of perceived usefulness and perceived ease of use measurement. Decision Sciences, 25(5/6), 863–874. CrossRef
Van Dijk, L. A., Van Der Berg, G. C., & Keulan, V. (2001). Interactivies lectures in engineering education. European Journal of Engineering Education, 26(1), 15–18. CrossRef
Veiga, J. F., Floyd, S., & Dechant, K. (2001). Towards modelling the effects of national culture on IT implementation and acceptance. Journal of Information Technology, 16(3), 145–158. CrossRef
Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. 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.
Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: U.S. vs. China. Journal of Global Information Technology Management, 13(1), 5–27.
Verhagen, T., Feldberg, F., van den Hooff, B., Meents, S., & Merikivi, J. (2012). Understanding users’ motivations to engage in virtual worlds: A multipurpose model and empirical testing. Computers in Human Behavior, 28(2), 484–495. CrossRef
Yeh, N.-C., Lin, J.-C.-C., & Lu, H.-P. (2011). The moderating effect of social roles on user behavior in virtual worlds. Online Information Review, 35(5), 747–769. CrossRef
Yeow, P. H. P., YenYuen, Y., & Tong, D. Y. K. (2008). User acceptance of online banking service in Australia. Communications of the IBIMA, 1, 191–197.
Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431–449. CrossRef
Yuen, A. H. K., & Ma, W. W. K. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229–243. CrossRef
Zakaria, M. H., Watson, J., & Edwards, S. L. (2010). Investigating the use of Web 2.0 technology by Malaysian students. Multicultural Education and Technology Journal, 4(1), 17–29. CrossRef
Zhang, S., Zhao, J., & Tan, W. (2008). Extending TAM for online learning systems: An intrinsic motivation perspective. Tsinghua Science and Technology, 13(3), 312–317. CrossRef
- Determinants of mobile wireless technology for promoting interactivity in lecture sessions: an empirical analysis
Chin Lay Gan
- Springer US
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