E-Learning Network Support Services: A Comparative Case Study of Australian and United States Universities
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E-Learning Network Support Services: A Comparative Case Study of Australian and United States Universities

Authors: Sayed Hadi Sadeghi

Abstract:

This research study examines the current state of support services for e-network practice in an Australian and an American university. It identifies information that will be of assistance to Australian and American universities to improve their existing online programs. The study investigated the two universities using a quantitative methodological approach. Participants were students, lecturers and admins of universities engaged with online courses and learning management systems. The support services for e-network practice variables, namely academic support services, administrative support and technical support, were investigated for e-practice. Evaluations of e-network support service and its sub factors were above average and excellent in both countries, although the American admins and lecturers tended to evaluate this factor higher than others did. Support practice was evaluated higher by all participants of an American university than by Australians. One explanation for the results may be that most suppliers of the Australian university e-learning system were from eastern Asian cultural backgrounds with a western networking support perspective about e-learning.

Keywords: Support services, e-network practice, Australian universities, United States universities.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316167

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[1] Ellis, R. A., Ginns, P., & Piggott, L. (2009). E‐learning in higher education: some key aspects and their relationship to approaches to study. Higher Education Research & Development, 28(3), 303-318.
[2] Bates, T. (1997). Restructuring the University for Technological Change (pp. 78-101). Murdoch University.
[3] Sadeghi, S. H. (2015). The current status of pedagogical e-practice in an Australian university context. International Journal of Advanced and Applied Sciences. 2(10), 70-74. Retrieved from http://www.science-gate.com/IJAAS/Articles/2015-2-10/08%202015-2-10-pp.70-74.pdf.
[4] Sadeghi, S. H. (2017). E-Learning Practice in Higher Education: A mixed-method Comparative Analysis. Springer
[5] Marshall, S. J. (2012). An analytic framework to support e. learning strategy development. Campus-Wide Information Systems, 29(3), 177-188.
[6] Karabenick, S. A., & Newman, R. S. (Eds.). (2013). Help seeking in academic settings: Goals, groups, and contexts. Routledge.
[7] Schworm, S., & Gruber, H. (2012). e‐Learning in universities: Supporting help‐seeking processes by instructional prompts. British Journal of Educational Technology, 43(2), 272-281.
[8] Moore, J. C., & Fetzner, M. J. (2009). The road to retention: A closer look at institutions that achieve high course completion rates. Journal of Asynchronous Learning Networks, 13(3), 3-22.
[9] Milman, N. B., Posey, L., Pintz, C., Wright, K., & Zhou, P. (2015). Online Master's Students Perceptions of Institutional Supports and Resources: Initial Survey Results. Online Learning, 19(4).
[10] Finger, G., Jamieson-Proctor, R., & Watson, G. (2006). Measuring learning with ICTs: an external evaluation of Education Queensland's ICT curriculum integration performance measurement instrument. In Proceedings of the Australian Association for Research in Education Annual Conference (AARE 2005). Australian Association for Research in Education.
[11] Fitz Patrick, T. (2012). Key Success Factors of eLearning in Education: A Professional Development Model to Evaluate and Support eLearning. Online Submission.
[12] Khan, B. H., & Granato, L. A. (2008). Program evaluation in e-learning: Retrieved from http://asianvu.com/bk/elearning_evaluation_article.pdf.
[13] Phipps, R., & Merisotis, J. (2000). Quality on the line: Benchmarks for success in internet-based distance education. The Institute for Higher Education Policy, 1-45. ERIC. Retrieved from http://eric.ed.gov/?id=ED444407.
[14] Sangrà, A. (2002). A new learning model for the information and knowledge society: The case of the Universitat Oberta de Catalunya (UOC), Spain. The International Review of Research in Open and Distributed Learning, 2(2).
[15] Selim, H. M. (2007). Critical success factors for e-learning acceptance: Confirmatory factor models. Computers & Education, 49(2), 396-413.
[16] Volery, T., & Lord, D. (2000). Critical success factors in online education. International journal of educational management, 14(5), 216-223.
[17] Masoumi, D. (2010). Quality in e-learning in a cultural context: The case of Iran. Department of Education, Communication and Learning; Institutionen för pedagogik, kommunikation och lärande.. Retrieved from https://gupea.ub.gu.se/bitstream/2077/22173/1/gupea_2077_22173_1.pdf.
[18] Dragon, T., Mavrikis, M., McLaren, B. M., Harrer, A., Kynigos, C., Wegerif, R., & Yang, Y. (2013). Metafora: A web-based platform for learning to learn together in science and mathematics. IEEE Transactions on Learning Technologies, 6(3), 197-207.
[19] Lorenzo, G., & Moore, J. (2002). Five pillars of quality online education. The Sloan consortium report to the nation, 15-09.
[20] Marshall, S. J. (2006). eMM version two process assessment workbook. Report to the New Zealand Ministry of Education, Wellington: Victoria University of Wellington.