Commencing on the Right Foot towards (On)Line of Dance –an Empirical Study in India

References

• Andy, F. 2000. “Discovering Statistics Using SPSS for Windows: Advanced Techniques for the Beginner.“ Sage Publications.
   Google Scholar
• Bandura, A. 1986. “Social Foundations of Thought and Action.” Englewood Cliffs, NJ: Prentice Hall. 23–28.
   Google Scholar
• Chen, P.-Y., and G.-J. Hwang. 2019. “An Empirical Examination of the Effect of Self-regulation and the Unified Theory of Acceptance and Use of Technology (UTAUT) Factors on the Online Learning Behavioural Intention of College Students.” Asia Pacific Journal of Education 39 (1): 79–95. doi:10.1080/02188791.2019.1575184.
   Web of Science ®Google Scholar
• Chen, G., Jin, Y., Liang, W., Liu, Y. 2021. “Study on the Influence of Middle School Students’ Self-efficacy on the Willingness to Use Online Learning Platform.” The International Journal of Electrical Engineering & Education. doi:10.1177/0020720920984030.
   Web of Science ®Google Scholar
• Coelho, C., and S. Menon. 2020. “Online Dance Training in a Social Distancing Environment: Examining Preferences of Latin and Ballroom Dancers.” Dance Education in Practice 6 (4): 23–29. doi:10.1080/23734833.2020.1831856.
   Google Scholar
• Davis, F. D., R. P. Bagozzi, and P. R. Warshaw. 1989. “User Acceptance of Computer Technology.” Journal of Management Science 35 (8): 982–1003.
   Web of Science ®Google Scholar
• Gitau, M. W. 2016. “Application of the Utaut Model to Understand the Factors Influencing the Use of Web 2.0 Tools in E-learning in Kenyan Public Universities.” PhD diss., University of Nairobi.
   Google Scholar
• Goulimaris, D., M. Koutsouba, and Y. Giosos. 2008. “The Organisation of a Distance Postgraduate Dance Programme and the Participation of Students Specialising in Dance.” Online Submission 9 (3): 59–73.
   Google Scholar
• Gupta, B., S. Dasgupta, and A. Gupta. 2008. “Adoption of ICT in a Government Organization in a Developing Country: An Empirical Study.” The Journal of Strategic Information Systems 17 (2): 140–154. doi:10.1016/j.jsis.2007.12.004.
   Web of Science ®Google Scholar
• Hutcheson, G. D., and N. Sofroniou. 1999. The Multivariate Social Scientist: An Introduction to Generalized Linear Models. Sage Publications.
   Google Scholar
• Karulkar, Y., Pahuja, J., Uppal, B.S., Sayed, S. 2019. “Examining UTAUT Model to Explore Consumer Adoption in Online Food Delivery (OFD) Services.” Pramana Research Journal 9 (8): 146–162.
   Google Scholar
• Liao, Q., J. P. Shim, and X. Luo. 2004. “Student Acceptance of Web-based Learning Environment: An Empirical Investigation of an Undergraduate IS Course.” AMCIS 2004 Proceedings. Americas Conference on Information Systems (AMCIS), 377.
   Google Scholar
• Marchewka, J., C. Liu, and K. Kostiwa. 2007. “An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software.” Communications of the IIMA 7 (2): 93–104.
   Google Scholar
• Miltiadou, M., and C. Ho Yu. 2000. “Validation of the Online Technologies Self-Efficacy Scale (OTSES).”ERIC (Education Resources Information Center).
   Google Scholar
• Nunnally, J. C., and I. H. Bernstein. 1994. Psychometric Theory. 3rd ed. New York, NY: McGraw-Hill.
   Google Scholar
• Owusu-Agyeman, Y., J. Serwaa Andoh, and E. Lanidune. 2021. “The COVID-19 Pandemic and Student Engagement in Online Learning: The Moderating Effect of Technology Self-efficacy.” Journal of Pedagogical Research 5 (4): 119–139. doi:10.33902/JPR.2021473586.
   Google Scholar
• Padhi, N. 2018. “Acceptance and Usability of OER in India: An Investigation Using UTAUT Model.” Open Praxis 10 (1): 55–65. doi:10.5944/openpraxis.10.1.623.
   Web of Science ®Google Scholar
• Pallant, J. 2005. SPSS Survival Manual. McGraw-Hill Education: Open Uni. Press.
   Google Scholar
• Pynoo, B., P. Devolder, J. Tondeur, J. Van Braak, W. Duyck, and P. Duyck. 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. doi:10.1016/j.chb.2010.10.005.
   Web of Science ®Google Scholar
• Rogers, E. M. 1983. Diffusion of Innovations. 3rd ed. New York: Free Press of Glencoe.
   Google Scholar
• Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27: 425–478. doi:10.2307/30036540.
   Web of Science ®Google Scholar
• Venkatesh, V., J. Y. L. Thong, and X. Xin. 2016. “Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead.” Journal of the Association for Information Systems 17 (5): 328–376. doi:10.17705/1jais.00428.
   Web of Science ®Google Scholar
• Wang, C.-H., D. M. Shannon, and M. E. Ross. 2013. “Students’ Characteristics, Self-regulated Learning, Technology Self-efficacy, and Course Outcomes in Online Learning.” Distance Education 34 (3): 302–323. doi:10.1080/01587919.2013.835779.
   Web of Science ®Google Scholar
• Zeng, Y. Y. “The Study of Employees’ Acceptance Towards Enterprise’s Online-learning system–Take China Steel as an Example.” PhD diss., Master Thesis, 2005.
   Google Scholar
• Zimmerman, W. A., and J. M. Kulikowich. 2016. “Online Learning Self-efficacy in Students with and without Online Learning Experience.” American Journal of Distance Education 30 (3): 180–191. doi:10.1080/08923647.2016.1193801.
   Web of Science ®Google Scholar