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Articles

Adoption of massive open online courses (MOOCs) for blended learning: the Indian educators’ perspective

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Pages 1060-1076 | Received 12 Apr 2020, Accepted 28 Aug 2020, Published online: 13 Sep 2020

References

  • Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The Internet and Higher Education, 11(2), 71–80. https://doi.org/10.1016/j.iheduc.2008.05.002
  • Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall.
  • Al-Atabi, M., & DeBoer, J. (2014). Teaching entrepreneurship using massive open online course (MOOC). Technovation, 34(4), 261–264. https://doi.org/10.1016/j.technovation.2014.01.006
  • Al-Shami, S. A., Sedik, S., Rashid, N., & Hussin, H. (2018). An empirical analysis of MOOC adoption from the perspective of institutional theory. Journal of Advanced Research in Dynamical and Control Systems, 10(6), 332–343.
  • Andersen, R., & Ponti, M. (2014). Participatory pedagogy in an open educational course: Challenges and opportunities. Distance Education, 35(2), 234–249. https://doi.org/10.1080/01587919.2014.917703
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
  • Arima, S., Miyakita, G., Yasui, M., & Okawa, K. (2019, October 23–25). Enhancing educators’ social presence in MOOCs: Design of daily video blog. IEEE learning With MOOCS (LWMOOCS), Milwaukee, WI, USA, pp. 36–41.
  • Arora, N., & Saini, J. R. (2013). A fuzzy probabilistic neural network for student’s Academic performance prediction. International Journal of Innovative Research in Science, Engineering and Technology, 2(9), 4425–4432.
  • Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers and Education, 58(2), 843–855. https://doi.org/10.1016/j.compedu.2011.10.010
  • Bruff, D. O., Fisher, D. H., McEwen, K. E., & Smith, B. E. (2013). Wrapping a MOOC: Student perceptions of an experiment in blended learning. Journal of Online Learning and Teaching, 9(2), 187–199.
  • Cangur, S., & Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 152–167. https://doi.org/10.22237/jmasm/1430453580
  • Cha, S. B., & Park, S. Y. (2017). An analysis of structural relationships among university students’ behavioral intention to use MOOC, major relevance, perceived usefulness, and acceptance attitude in agricultural science fields. Journal of Agricultural Education and Human Resource Development, 49(3), 1–21. https://doi.org/10.23840/agehrd.2017.49.3.1
  • Chakravarty, R., & Kaur, J. (2016). MOOCs in India: Yet to Shine. International Journal of Information Studies and Libraries, 14–21.
  • Chan, M. M., Plata, R. B., Medina, J. A., Alario-Hoyos, C., Rizzardini, R. H., & De la Roca, M. (2018). Analysis of behavioral intention to Use cloud-based tools in a MOOC: A technology acceptance model approach. Journal of Universal Computer Science, 24(8), 1072–1089.
  • Chauhan, J. (2017). An overview of MOOC in India. International Journal of Computer Trends and Technology, 49(2), 111–120. https://doi.org/10.14445/22312803/IJCTT-V49P117
  • Chomal, V. S., & Saini, J. R. (2013). A study and analysis of Paradigm Shifts in education triggered by technology. International Journal of Research in Economics and Social Sciences, 3(1), 14–28.
  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results [Doctoral dissertation, Massachusetts Institute of Technology]. Sloan School of Management. https://dspace.mit.edu/handle/1721.1/15192
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  • De Jong, P. G., Pickering, J. D., Hendriks, R. A., Swinnerton, B. J., Goshtasbpour, F., & Reinders, M. E. (2020). Twelve tips for integrating massive open online course content into classroom teaching. Medical Teacher, 42(4), 393–397. https://doi.org/10.1080/0142159X.2019.1571569
  • Devgun, P. (2013). Prospects for success of MOOC in higher education in India. International Journal of Information and Computation Technology, 3(7), 641–646.
  • Evans, S., & Myrick, J. G. (2015). How MOOC instructors view the pedagogy and purposes of massive open online courses. Distance Education, 36(3), 295–311. https://doi.org/10.1080/01587919.2015.1081736
  • Firmin, R., Schiorring, E., Whitmer, J., Willett, T., Collins, E. D., & Sujitparapitaya, S. (2014). Case study: Using MOOCs for conventional college coursework. Distance Education, 35(2), 178–201. https://doi.org/10.1080/01587919.2014.917707
  • Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. Internet and Higher Education, 7(2), 95–105. https://doi.org/10.1016/j.iheduc.2004.02.001
  • Ghadiri, K., Qayoumi, M. H., Junn, E., Hsu, P., & Sujitparapitaya, S. (2013). The transformative potential of blended learning using MIT edX’s 6.002 x online MOOC content combined with student team-based learning in class’. Environment, 8(14), 14–29.
  • Gilbert, J. A., & Flores-Zambada, R. (2011). Development and implementation of a blended teaching course environment. MERLOT Journal of Online Learning and Teaching, 7(2), 244–260.
  • Griffiths, R., Chingos, M., Mulhern, C., & Spies, Richard R. (2014). Interactive online learning on campus: Testing MOOCs and other hybrid formats in the University system of Maryland. Ithaka S+R.
  • Halan, D. (2005). Blended learning. Journal of Educational Technology, 2(1), 20–24.
  • Holotescu, C., Grosseck, G., Cretu, V., & Naaji, A. (2014, April 30–May 1). Integrating MOOCs in blended courses. 10th International Scientific Conference eLearning and software for education, Bucharest, Romania, pp. 243–250.
  • Hong, J. Y., Suh, E. H., & Kim, S. J. (2009). Context-aware systems: A literature review and classification. Expert Systems with Applications, 36(4), 8509–8522. https://doi.org/10.1016/j.eswa.2008.10.071
  • Hossain, L., & de Silva, A. (2009). Exploring user acceptance of technology using social networks. The Journal of High Technology Management Research, 20(1), 1–18. https://doi.org/10.1016/j.hitech.2009.02.005
  • Hsu, J. Y., Chen, C. C., & Ting, P. F. (2018). Understanding MOOC continuance: An empirical examination of social support theory. Interactive Learning Environments, 26(8), 1100–1118. https://doi.org/10.1080/10494820.2018.1446990
  • Joseph, A. M., & Nath, B. A. (2013, July 22–25). Integration of massive open online education (MOOC) system with in-classroom interaction and assessment and accreditation: An extensive report from a pilot study. Proceedings of the international conference on e-learning, e-business, enterprise information systems, and e-government (EEE), The Steering Committee of The world Congress in computer Science, computer engineering and applied computing (WorldComp), pp. 105.
  • Kasat, K., Shaikh, N., Chandrachud, M., & Saini, J. R. (2019, November 12–13 ). Impact of flipped classroom on engagement of Post-graduate students under the faculty of social Sciences. Proceedings of 12th Annual International Conference of education, research and innovation (ICERI-2019), Seville, Spain, pp. 7582–7590.
  • Kim, T., Suh, Y. K., Lee, G., & Choi, B. G. (2010). Modelling roles of task-technology fit and self-efficacy in hotel employees usage behaviours of hotel information systems. International Journal of Tourism Research, 12(6), 709–725. https://doi.org/10.1002/jtr.787
  • Koukis, N., & Jimoyiannis, A. (2019). MOOCS for teacher professional development: Exploring teachers’ perceptions and achievements. Interactive Technology and Smart Education, 16(2), 74–91. https://doi.org/10.1108/ITSE-10-2018-0081
  • Kujur, S., Vinayagam, S. S., Awasthi, H. K., & Murthy, G. R. R. (2019). Study of factors influencing adoption of educational technology in teaching-learning process in agricultural universities in India. International Journal of Education and Management Studies, 9(3), 164–168.
  • Lee, C. S., Osop, H., Goh, D. H. L., & Kelni, G. (2017). Making sense of comments on YouTube educational videos: A self-directed learning perspective. Online Information Review, 41(5), 1–17. https://doi.org/10.1108/OIR-09-2016-0274.
  • Lee, M. H., & Tsai, C. C. (2010). Exploring teachers’ perceived self-efficacy and technological pedagogical content knowledge with respect to educational use of the world wide web. Instructional Science, 38(1), 1–21. https://doi.org/10.1007/s11251-008-9075-4
  • Li, Y., Duan, Y., Fu, Z., & Alford, P. (2012). An empirical study on behavioral intention to reuse e-learning systems in rural China. British Journal of Educational Technology, 43(6), 933–948. https://doi.org/10.1111/j.1467-8535.2011.01261.x
  • Li, C. K., & Wong, T. M. (2019). Advancing teaching with massive open online courses: A review of case studies. International Journal of Innovation and Learning, 25(2), 141–155. https://doi.org/10.1504/IJIL.2019.097660
  • Liyanagunawardena, T. R., Adams, A. A., & Williams, S. A. (2013). OOCs: A systematic study of the published literature 2008–2012. The International Review of Research in Open and Distributed Learning, 14(3), 202–227. https://doi.org/10.19173/irrodl.v14i3.1455
  • Mabuan, R. A. (2018). Using blogs in teaching tertiary ESL writing. English Review: Journal of English Education, 6(2), 1–10. https://doi.org/10.25134/erjee.v6i2.1238
  • Molla, A., & Licker, P. (2001). E-commerce systems success: An attempt to extend and respecify the DeLone and McLean model of IS success. Journal of Electronic Commerce Success, 2(4), 131–141.
  • Morris, N. P. (2014). In M. Baptista Nunes, M. McPherson, M. Baptista Nunes, & M. McPherson (Eds.), How digital technologies, blended learning and MOOCs will impact the future of higher education. IADIS Press.
  • Nikou, S. A., & Economides, A. A. (2019). Factors that influence behavioral intention to use mobile-based assessment: A STEM teachers’ perspective. British Journal of Educational Technology, 50(2), 587–600. https://doi.org/10.1111/bjet.12609
  • Ospina-Delgado, J., García-Benau, M. A., & Zorio-Grima, A. (2016). Massive open online courses for IFRS education: A point of view of Spanish Accounting Educators. Procedia-Social and Behavioral Sciences, 228, 356–361. https://doi.org/10.1016/j.sbspro.2016.07.053
  • Phatak, D. B. (2015, January 5–8). Adopting MOOCs for quality engineering education in India. Proceedings of the International Conference on Transformations in engineering education, Springer, New Delhi, pp. 11–23.
  • Pujar, S. M., & Tadasad, P. G. (2016). MOOCs–an opportunity for international collaboration in LIS education. New Library World, 117(5/6), 360–373. https://doi.org/10.1108/NLW-07-2015-0048
  • Pynoo, B., Devolder, P., Tondeur, J., Van Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27(1), 568–575. https://doi.org/10.1016/j.chb.2010.10.005
  • Rao, P. N., Komaraiah, M., & Reddy, P. N. (2015). A case for MOOCs in Indian higher education system. Journal of Engineering Education Transformations, 29(1), 15–25. https://doi.org/10.16920/jeet/2015/v29i1/77104
  • Ray, A., Bala, P. K., & Dasgupta, S. A. (2019). Role of authenticity and perceived benefits of online courses on technology based career choice in India: A modified technology adoption model based on career theory. International Journal of Information Management, 47, 140–151. https://doi.org/10.1016/j.ijinfomgt.2019.01.015
  • Richter, S. L., & Krishnamurthi, M. (2014). Preparing faculty for teaching a MOOC: Recommendations from research and experience. International Journal of Information and Education Technology, 4(5), 411–415. https://doi.org/10.7763/IJIET.2014.V4.440
  • Rogers, E. M. (2003). Diffusion of innovations. Free Press.
  • Rubaai, N., & Hashim, H. (2019). Polytechnic ESL lecturers’ acceptance of using massive open online course(MOOC) for teaching English as a second language (ESL). International Journal of Innovative Technology and Exploring Engineering, 8(9), 114–121. https://doi.org/10.35940/ijitee.I7530.078919
  • Ryan, L. (2013). MOOCs – Massive Open Online Courses. Retrieved March 20, 2020, from https://www.efmd.org/blog/view/250- white-paper-moocs-massive-open-online-courses.
  • Saeed, K. A., Hwang, Y., & Yi, M. Y. (2003). Toward an integrative framework for online Consumer behavior research: A meta-analysis approach. Journal of End User Computing, 15(4), 1–26. https://doi.org/10.4018/joeuc.2003100101
  • Shah, R., & Goldstein, S. (2006). Use of structural equation modeling in operations management research: Looking back and forward. Journal of Operations Management, 24(5), 148–169. https://doi.org/10.1016/j.jom.2005.05.001
  • Shao, Z. (2018). Examining the impact mechanism of social psychological motivations on individuals’ continuance intention of MOOCs: The moderating effect of gender. Internet Research, 28(1), 232–250. https://doi.org/10.1108/IntR-11-2016-0335
  • Sharpe, R., Benfield, G., Roberts, G. and Francis, R. (2006). The undergraduate experience of blended e-learning: A review of UK literature and practice. The Higher Education Academy. Retrieved March 19, 2020, from https://www.heacademy.ac.uk/system/files/sharpe_benfield_roberts_francis_0.pdf
  • Siemens, G. (2013, October 21). What are MOOCs doing to open education? Presented at Open Access Week. Retrieved July 7, 2015, from http://openaccess.athabascau.ca/events.php
  • Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128–143. https://doi.org/10.1111/j.1365-2729.2007.00247.x
  • Teo, T., Sang, G., Mei, B., & Hoi, C. K. W. (2019). Investigating pre-service teachers’ acceptance of Web 2.0 technologies in their future teaching: A Chinese perspective. Interactive Learning Environments, 27(4), 530–546. https://doi.org/10.1080/10494820.2018.1489290
  • Teo, T., & Zhou, M. (2014). Explaining the intention to use technology among university students: A structural equation modeling approach. Journal of Computing in Higher Education, 26(2), 124–142. https://doi.org/10.1007/s12528-014-9080-3
  • Tseng, T. H., Lin, S., Wang, Y. S., & Liu, H. X. (2019). Investigating teachers’ adoption of MOOCs: The perspective of UTAUT2. Interactive Learning Environments, 27(1), 1–16. https://doi.org/10.1080/10494820.2019.1674888
  • UNDP India. (2016). Human development report. Oxford University Press.
  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
  • Wikipedia (2020). Massive Open Online Courses. Retrieved February 19, 2020, from https://en.wikipedia.org/wiki/Massive_open_online_course,2020
  • Wright, R. (2014). The Death of MOOCs has been greatly exaggerate. Retrieved February 18, 2020, from http://www.slate.com/articles/technology/future_tense/2014/04/mooc_completion_rates_don_t_matter.Html.
  • Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221–232. https://doi.org/10.1016/j.chb.2016.10.028
  • Wu, B., & Zhang, C. Y. (2014). Empirical study on continuance intentions towards ELearning 2.0 systems. Behaviour & Information Technology, 33(10), 1027–1038. https://doi.org/10.1080/0144929X.2014.934291
  • Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development, 65(5), 1195–1214. https://doi.org/10.1007/s11423-017-9513-6
  • Yang, H. H., & Su, C. H. (2017). Learner behaviour in a MOOC practice-oriented course: In empirical study integrating TAM and TPB. The International Review of Research in Open and Distributed Learning, 18(5), 35–63. https://doi.org/10.19173/irrodl.v18i5.2991
  • Yuan, L. and Powell, S.J. (2013). MOOCs and open education: Implications for higher education. A white paper. JISC CETIS. Retrieved February 18, 2020, from http://publications.cetis.org.uk/wp-content/uploads/2013/03/MOOCs-and-Open-Education.pdf
  • Zawacki-Richter, O., & Naidu, S. (2016). Mapping research trends from 35 years of publications in distance education. Distance Education, 37(3), 245–269. https://doi.org/10.1080/01587919.2016.1185079
  • Zhang, M., Yin, S., Luo, M., & Yan, W. (2017). Learner control, user characteristics, platform difference, and their role in adoption intention for MOOC learning in China. Australasian Journal of Educational Technology, 33(1), 114–133. https://doi.org/10.14742/ajet.2722
  • Zhou, M. (2016). Chinese university students’ acceptance of MOOCs: A self-determination perspective. Computers and Education, 92-93, 194–203. https://doi.org/10.1016/j.compedu.2015.10.012

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