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The Determinants of Senior Students, Behavioral Intention on the Blended E-Learning for the Ceramics Teaching Course at the Active Aging University

Authors: Horng-Jyh Chen; Chen, Yi-Fang; Chien-Liang Lin;

The Determinants of Senior Students, Behavioral Intention on the Blended E-Learning for the Ceramics Teaching Course at the Active Aging University

Abstract

{"references": ["OEPD, Executive Yuan.(2010). Estimation Report of Populations in\nTaiwan 2010~2060,Retrieved ,1, 2, 2013, from\nhttp://www.cepd.gov.tw/m1.aspx?sNo=0000455", "Y.-S.Kim, & Merriam, S. B.(2010). Situated learning and identity\ndevelopment in a Korean older adults' computer classroom. Adult\nEducation Quarterly, 60(5), 438-455.", "C.C.Chang, Yan, C.F., & Tseng, J.S. (2012). Perceived convenience in\nanextended technology acceptance model: Mobile technology and\nEnglish learningfor college students. Australasian Journal of Educational\nTechnology, 28(5),809-826.", "B.Cheng, Wang, M., & Moormann, J. (2012). The Effects of\nOrganizational Learning Environment Factors on E-Learning\nAcceptance. Computers and Education, 58(3), 885-899.", "K.-M. Lin,(2011). e-Learning continuance intention: Moderating effects\nof user e-learning experience. Computers and Education, 56, 515-526.", "T.Teo, (2009). Modelling technology acceptance in education: A study of\npre-service teachers. Computers and Education, 52(1), 302-312.", "Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance\nof computer technology: A comparison of two theoretical models.\nManagement Science, 35(8), 982-1003.", "T.Ahn, Ryu, S., & Han, I. (2007).The impact of web quality and\nplayfulness on user acceptance of online retailing. Information and\nManagement, 44(3), 263-275.", "S.-Y.Park, (2009). An Analysis of the Technology Acceptance Model in\nUnderstanding University Students' Behavioral Intention to Use\ne-Learning. Educational Technology and Society, 12(3), 150-162.\n[10] Tourangeau,R. Rips, L.J. and Rasinski, K. (2000), \"The psychology of\nsurvey response,\" CambridgeUniversity Press, Cambridge.\n[11] P.M. Podsakoff, MacKenzie, S.B., Lee, J.-Y. and Podsakoff, N.P. (2003),\n\"Common method biasesin behavioral research: a critical review of the\nliterature and recommended remedies,\"Journal of Applied\nPsychology,Vol. 88 No. 5, pp. 879-903.\n[12] W.-W. Chin, (1998). Issues and opinion on structural equation modeling.\nMIS Quarterly, 22(1), VII-XVI.\n[13] D.Gefen, Karahanna, E., & Straub, D.W. (2003). Trust and TAM in\nonline shopping: An integrated model. MIS Quarterly, 27(1), 51-90.\n[14] D.Gefen, Straub, D. W., & Boudreau, M. C. (2000). Structural equation\nmodeling and regression: Guidelines for research practives.\nCommunication of the Association for Information Systems, 7(4), 1-79.\n[15] W.-W.Chin, Marcolin, B. L., & Newsted, P. R. (2003). A Partial Least\nSquares Latent Variable Modeling Approach for Measuring Interaction\nEffects: Results from a Monte Carlo Simulation Study and an\nElectronic-Mail Emotion/Adoption Study. Information Systems\nResearch, 14(2), 189-217."]}

In this paper, the authors try to investigate the determinants of behavioral intention of the blended E-learning course for senior students at the Active Ageing University in Taiwan. Due to lower proficiency in the use of computers and less experience on learning styles of the blended E-learning course for senior students will be expected quite different from those for most young students. After more than five weeks course for two years the questionnaire survey is executed to collect data for statistical analysis in order to understand the determinants of the behavioral intention for senior students. The object of this study is at one of the Active Ageing University in Taiwan total of 84 senior students in the blended E-learning for the ceramics teaching course. The research results show that only the perceived usefulness of the blended E-learning course has significant positive relationship with the behavioral intention.

Keywords

Active Aging University, behavioral intention, blended E-learning, ceramics teaching course

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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