Unified Theory of Acceptance and Use of Technology Model Towards Awareness of e- Learning Through Massive Open Online Course: An Empirical Study.

Author(s)

Mubeena Qamar , Ms Mahvish Khaskhely , Mr. Waqar Ahmed Sethar , Ms. Iffat Batool ,

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Volume 9 - October 2020 (10)

Abstract

E-Learning is playing very important role in present educational scenario.  This study awareness about e-learning tools through Massive Open Online Courses (MOOCs) among the students of University of Sindh.  Several studies have been conducted on various aspects of e-learning and bringing latest technological excellence among students worldwide.
Total 516 questionnaires were filled out by under-graduate and masters level students of University of Sindh. Smart PLS technique was used to analyse and interpret the data to achieve objective results.
Study findings revealed that 30.6% participants were aware of e-learning through Massive Open Online Courses while 13.6% expressed a moderate level of awareness with Massive Open Online Courses. However, this study concludes that Massive Open Online Courses should be accepted as technology for learning where positive results are completed to be gained for Unified Theory of Acceptance and use of Technology factors such as performance expectancy, effort expectancy, social influence, computer self-efficacy and facilitating conditions.
There is a hug number of students of Sindh University who don’t know about e-learning through MOOCs because there is lack of awareness of MOOCs and there are no internet availabilities in departments for students.
It is very beneficial for those who cannot afford fees for learning course they can take benefits from these courses with free of cost to learn their class assignments easily and if they cannot understand class lecture properly, they can understand that by completing online course.
Lastly, suggestions are provided to enhance awareness through workshops, seminars, trainings and e-learning to motivate students for taking benefits of latest innovations

Keywords

self-efficacy, UTAUT mode, MOOCs, E-learning.

References

     i.            Delone, William H., and Ephraim R. McLean. (2003) "The DeLone and McLean model of information systems success: a ten-year update." Journal of management information systems Vol 19.4 pp. 9-30.

    ii.            Venkatesh, Viswanath, et al. (2003) "User acceptance of information technology: Toward a unified view." MIS quarterly pp.425-478.

    iii.            Jang, Yong Ju, Nam-Kyung Yeo, and Jong Hwan Wang. (2009) "Cutting and suture technique of the caudal septal cartilage for the management of caudal septal deviation." Archives of Otolaryngology–Head & Neck Surgery No.135 Vol.12 pp. 1256-1260.

     iv.            Ghalandari, Kamal. (2012) "The effect of performance expectancy, effort expectancy, social influence and facilitating conditions on acceptance of e-banking services in Iran: The moderating role of age and gender." Middle East Journal of Scientific Research No.12 Vol 6 pp. 801-807.

       v.            Taylor, Shirley, and Peter A. Todd. (1995) "Understanding information technology usage: A test of competing models." Information systems research Vol.6 No.2 pp.144- 176.

     vi.            Dishman, Rod K., et al. (2019) "Self-efficacy, beliefs, and goals: Moderation of declining physical activity during adolescence." Health Psychology.

   vii.            Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly, Vol 27 No pp. 425- 478.

 viii.            Taylor, S. and Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, Vol. 6 pp. 144-176

     ix.            Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71-81).

       x.            Venkatesh, Viswanath, et al. "User acceptance of information technology: Toward a unified view." MIS quarterly (2003): 425-478.

     xi.            Bandura, (1993) "Perceived self-efficacy in cognitive development and functioning., “Educational psychologist, vol. 28, no. 2, pp. 117-148.

   xii.            Dulle, Frankwell W., and M. K. M.Majanja. (2011) "The suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in open access adoption studies." Information development vol. 27. No.1 pp. 32-45.

 xiii.            Jung, (2007) "Changing faces of open and distance learning in Asia.," International Review of Research in Open and Distributed Learning, vol. 8, no. 1, pp. 1-6.

 xiv.            K. Jordan, (2015) "Massive open online course completion rates revisited: Assessment, length and attrition.," The International Review of Research in Open and Distributed Learning, vol. 16, no. 3, pp. 341-358.

   xv.            M. W. McClure, (2019) "MOOCs, Students, Higher Education and Their Paradoxes.," Preparing Students for Life and Work. Brill Sense, pp. 157-178.

 xvi.            Hatlevik, O.Edvard, et al.(2018) "Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships." Computers & Education vol.118 pp. 107-119.

xvii.            Bandura. A. (1977) "Self-efficacy: toward a unifying theory of behavioral change." Psychological review vol. 84. No.2 pp. 1-91.

xviii.            Bandura, Albert. (1986) "The explanatory and predictive scope of self-efficacy theory." Journal of social and clinical psychology vol. 4.No. 3 pp.359-373.

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