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Factors Influencing Diffusion and Continuance of Massive Open Online Course (MOOC)
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Distance education is not new and has been there as one of the means of education since ages. We are witnessing an age of digitalization and thereby people get access to products and services at a mouse click, Massive Open Online Courses (MOOCs) are no exceptions to it. Usage of MOOCs is determined by a complex of factors such as intrinsic motivation of participants, instructors’ willingness to adapt to MOOCs and to name a few. There are hundreds and thousands of courses available on MOOC platform that are being offered for free of cost and are thousands of participants enrolling for such courses. But given the fact that completion rate of such courses is far less; the most daunting problem is, how can we get participants to adopt and continue using this growing technology especially in Country like India where more than half of the population is from rural area.
Keywords
Massive Open Online Course (MOOC), Tam (Technology Acceptance Model), DOI (Diffusion Of Innovation), Disruptive Technology, Completion Rates.
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- Conole, G. MOOCs as Disruptive Technologies: Strategies For Enhancing The Learner Experience and Quality of MOOCs: Available from URL: http://www.um.es/ead/red/39/conole.pdf
- Nadzeya Kalbaska. Massive Open Online Course(MOOC) Adoption and Implementation, Available from URL: : https://www.researchgate.net/profile/Nadzeya_Kalbaska/publication/279925436_Massive_Open_Online_Course_MOOC_Adoptio n_and_Implementation/links/559e71f108aeab53f8fd2b95.pdf?origin=publication_detail
- Sung Your Park. An Analysis of the Technology Acceptance Model in Understanding University Students’ Behavioral Intention to Use e-Learning, Available from URL: http://www.ifets.info/journals/12_3/14.pdf
- Jamie Murphy, Alan Williams and Amy Lennox. MOOCs in vocational education and training and higher education. In: 22nd National Vocational Education and Training Research conference.2013. 76-81.
- Suzannah Evansand Jessica Gall Myrick. How MOOC instructors view the pedagogy and purposes of massive open online courses. Journal of Distance Education.2015; 36 (3): 295-311.
- Khaled M. Alraimi, HangjungZo, Andrew P. Ciganek (2014). Understanding the MOOCs continuance: The role of openness and reputation. Computers and Education.2015; 80:28-38.
- Onah, Daniel F. O., Sinclair, Jane and Boyatt, Russell. Dropout rates of massive open online courses: behavioural patterns. In: 6th International Conference on Education and New Learning Technologies, Barcelona, Spain. Published in: EDULEARN14 Proceedings.2014. 5825-5834.
- Suhang Jiang, Adrianne E. Williams, Katerina Schenke. Predicting MOOC Performance with Week 1 Behavior. Proceedings of the 7th International Conference on Educational Data Mining. 2014; 273-275.
- Hsiu-Li Liao and Su-Houn Liu. A comparison analysis on the intention to continued use of a lifelong learning website. International Journal of Computers and Education.2015; 80: 28-38.
- Parag Chatterjee, Asoke Nath. Massive Open Online Courses (MOOCs) in Education – A Case Study in Indian Context and Vision to Ubiquitous Learning. In 2nd IEEE International Conference on MOOCs, Innovation and Technology in Education(MITE).2014; 36-41
- Jyoti Devi Mahadeo. Towards an Understanding of the Factors Influencing the Acceptance and Diffusion of e-Government Services. Electronic Journal of e-Government. 2009; 7 (4): 391 – 402.
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