Factors Influencing Rote Student's Intention to Use WBL: Thailand Study
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Factors Influencing Rote Student's Intention to Use WBL: Thailand Study

Authors: Watcharawalee Lertlum, Borworn Papasratorn

Abstract:

Conventional WBL is effective for meaningful student, because rote student learn by repeating without thinking or trying to understand. It is impossible to have full benefit from conventional WBL. Understanding of rote student-s intention and what influences it becomes important. Poorly designed user interface will discourage rote student-s cultivation and intention to use WBL. Thus, user interface design is an important factor especially when WBL is used as comprehensive replacement of conventional teaching. This research proposes the influencing factors that can enhance student-s intention to use the system. The enhanced TAM is used for evaluating the proposed factors. The research result points out that factors influencing rote student-s intention are Perceived Usefulness of Homepage Content Structure, Perceived User Friendly Interface, Perceived Hedonic Component, and Perceived (homepage) Visual Attractiveness.

Keywords: E-learning, Web-Based learning, Intention to use, Rote student, Influencing.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083771

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1576

References:


[1] Anderson, J., "IT, e-learning and teacher development," International Education Journal, vol. 5, no. 5, pp. 1-14, 2005.
[2] Lertlum, W. and Papasratorn, B., "Trust Framework for Web-Based Learning System," Proceeding of the International Conference on PISTA-04 and CITSA-04, Orlando, USA, July 21-25, 2004.
[3] Angelini, A., Gentile, E., Plantamura, P., and Plantamura, V. L., "Web Information System for e-Learning," International Academy of Sciences: ENFORMATIKA, Vol. 8, pp. 209-212, October, 2005.
[4] Gueye M., "Computers for EFL in developing countries: Problems and solutions," CALICO, Vol. 7, pp. 77-85, 1989.
[5] ASTD and The Masie Center, "E-Learning: If We Build It, Will They Come" Executive Summary" (2004, August 4). E-Learning Motivators and Acceptance Levels, ASTD/Masie Center, (Online). Available: http://www.masie.com/masie/researchreports/ASTD_Exec_Summ.pdf
[6] Lertlum, W. and Papasratorn B., "Perception Factors for Increasing Learners' Intention to Use WBL," The 3rd International Conference on ICT and Higher Education: e-University, Bangkok, Thailand, August 31, 2004 - September 2, 2004.
[7] Alshare, K., Grandon, E.E., and Kwun, O., "Factors Influencing Student's Intention to Adopt Online Classes: A Cross-Cultural Study, Emporia State University," Journal of Computing Sciences in Colleges, Vol. 20, No. 4, pp. 46-56, 2005.
[8] de Vicente, A., Pain, H., "Informing the detection of the students' motivational state: an empirical study," Proceedings of the Sixth International Conference on Intelligent Tutoring Systems, Vol. 2363 of Lecture Notes in Computer Science, pp. 933-943, 2002.
[9] Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, Vol. 13, No. 3, pp.319-339, September 1989.
[10] Eikebrokk, T.R. and S├©reb├©, ├ÿ., (2004, June 11). "Technology Acceptance in Situations with Alternative Technologies: An Empirical Evaluation of the Technology Acceptance Model in a Multiple-choice Situation," Proceedings of the Seventh European Conference on Information Systems, Copenhagen Business School, Copenhagen, pp. 129-141. (Online). Available: http://www.bi.no/dep2/infomgt/nokobit /nokobit98/papers/s22a.pdf
[11] Gong, M., Xu, Y., and Yu, Y., "An Enhanced Technology Acceptance Model for Web-Based Learning," Journal of Information Systems Education, Vol. 15, No. 4, pp. 365-374, Winter 2004.
[12] Lee, Y., Kozar, K., and Larsen, K. "The Technology Acceptance Model: Past, Present, and Future," Communications of the AIS, Vol. 12, pp. 752-780, December, 2003.
[13] Wagner, G.D. and Flannery, D.D., "A quantitative study of factors affecting learner acceptance of a computer-based training support tool," Journal of European Industrial Training, Vol. 28, No. 5, pp. 383-399, May, 2004.
[14] Arnold, Mark J. and Kristy E. Reynolds, "Hedonic Shopping Motivations." Journal of Retailing, Vol. 79, No. 2, pp. 77-95, January 1, 2003.
[15] Childers, Terry L., Christopher L. Carr, Joann Peck, and Stephen Carson, "Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior," Journal of Retailing, Vol. 77, pp. 511-535, Number 4, 2001 (Winter).
[16] Van der Heijden, H., "User acceptance of hedonic information systems," MIS Quarterly, Vol. 28, No. 4, pp. 695-704, December, 2004.
[17] Roussou, M., "Learning by Doing and Learning Through Play: An Exploration of Interactivity in Virtual Environments for Children," ACM Computers in Entertainment, Vol. 2, No. 1, pp. 1-23, January,
[18] Malone, T. and M. Lepper, "Making Learning Fun: A Taxonomy of Intrinsic Motivations for Learning," in Richard Snow and Marshall Farr (eds.), Aptitude,Learning, and Instruction, Lawrence Erlbaum Associates, Hillsdale, NJ, pp.223-253, 1987.
[19] McCombs, L B. (2004, October 30). Understanding the Keys to Influencing to Learn. (Online). Available: http://www.mcrel.org/products/ noteworthy/barbaram.html
[20] Thiessen, J. and Ambrock, V. (2005, May 7). "Chapter 10, Value Added - The Editor in Design and Development of Online Courses," Theory and Practice of Online Learning, by Terry Anderson & Fathi Elloumi (Eds.), Athabasca University, pp. 259-269. (Online). Available: http://cde.athabascau.ca/online_book
[21] B. J. Fogg, Hsiang Tseng, "The elements of computer credibility," Proceedings of the SIGCHI conference on Human factors in computing systems: the CHI is the limit, pp.80-87, May 15-20, 1999, Pittsburgh, Pennsylvania, United States.
[22] Nielsen, J. (2005, February 7). Top Ten Guidelines for Homepage Usability. Alertbox. (Online). Available: http://www.useit.com/alertbox/ 20020512.html