The role of Personal Innovativeness and Previous Experience in explaining and predicting Mobile-based Assessment adoption PROCEEDINGS
Stavros Nikou, Anastasios A. Economides, University of Macedonia, Greece
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Kona, Hawaii, United States Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
Mobile devices can deliver learning content and assessment “anywhere” and “anytime”, offering new opportunities for ubiquitous and personalized learning experiences. Despite the growing interest for mobile learning and mobile-based assessment, little research exists about the factors that influence students to adopt these new technologies. The current study applies the Technology Acceptance Model (TAM) to explain and predict the acceptance of mobile-based assessment in a European University. It proposes two additional variables, Personal Innovativeness and Previous Experience to the already known ones (Perceived Usefulness and Perceived Ease of Use) investigating how they influence Behavioral Intention to Use Mobile-Based Assessment. Partial Least Squares (PLS) was used for data analysis. Results indicate that Previous Experience and Personal Innovativeness have a significant influence on mobile-based assessment adoption.Practical implications are discussed.
Nikou, S. & Economides, A.A. (2015). The role of Personal Innovativeness and Previous Experience in explaining and predicting Mobile-based Assessment adoption. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 866-871). Kona, Hawaii, United States: Association for the Advancement of Computing in Education (AACE). Retrieved August 17, 2018 from https://www.learntechlib.org/primary/p/152101/.
© 2015 Association for the Advancement of Computing in Education (AACE)
- Abu-Al-Aish, A. & Love, S. (2013). Factors influencing students’ acceptance of mlearning: An investigation in higher education. The International Review of Research in Open and Distance Learning, vol. 14, no.5, pp. 82107.
- Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
- Davis, F.D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quartely, vol. 13, no. 3, pp. 319–340.
- Hwang, G.J., & Wu, P.H. (2014). Applications, impacts and trends of mobile technology-enhanced learning: a review of 2008-2012 publications in selected SSCI journals, Intl. J. Mobile-Learning and Organization, vol.8, No.2.
- King, W.R. & He, J. (2006). A meta-analysis of the technology acceptance model. Information& Management, 43, 6 (Sep. 2006), 740-755.
- Lu, J., Yao, J., & Yu, C-J. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), pp.245-268.
- Nikou, S.A. & Economides, A.A. (2014). A model for Mobile-based Assessment adoption based on SelfDetermination Theory of Motivation, International Conference on Interactive Mobile Communication Technologies and Learning (IEEE), pp.86-90, Thessaloniki, Greece.
- Nikou, S.A. & Economides, A.A. (2014), Acceptance of Mobile-Based Assessment from the perspective of Self-Determination Theory of Motivation, International Conference of Advanced Learning Technologies (IEEE), pp.454-458, IEEE ICALT 2014, Athens.
- Park, S.Y., Nam, M.-W., & Cha, S.-B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model, British Journal of Educational Technology, vol. 43, no. 4, pp. 592–605.
- Ringle, C.M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (beta). [Computer Software]. Retrieved from http://www.smartpls.de
- Terzis V. & Economides, A.A. (2011). The acceptance and use of computer based assessment, Computers& Education, vol. 56, no. 4, pp. 1032–1044.
- Terzis, V. & Economides, A.A. (2012). The effect of emotional feedback on behavioral intention to use computer based assessment. Computers& Education, Vol. 59, No. 2, pp. 710-721.
- Terzis V., Moridis, C.N., Economides, A.A. & Rebolledo-Mendez, G. (2013). Computer Based Assessment Acceptance: ACross-cultural Study in Greece and Mexico, Educational Technology& Society, vol.16, no.3, pp. 411–424.
- Triantafillou, E., Georgiadou, E., & Economides, A.A. (2008). CAT-MD: Computerized adaptive testing on mobile devices. International Journal of Web-Based Learning and Teaching Technologies (extended versions of the best papers presented at m-ICTE2006 Conference), Vol. 3, No. 1, pp. 13-20.
- 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), pp. 342–365.
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