THE INSTRUCTOR PARAMETERS OF TRANSITION TO FULLY ONLINE LEARNING
Abstract
Keywords
online learning, higher education, clustering, instructor perspective
References
- Akdemir, O. (2008). Teaching In Online Courses: Experiences Of Instructional Technology Faculty Members. Turkish Online Journal of Distance Education, 9(2), 97-108.
- Albreiki, B., Zaki, N., & Alashwal, H. (2021). A systematic literature review of student performance prediction using machine learning techniques. Education Sciences, 11(9), 552.
- Allen, I. E., & Seaman, J. (2011). Going the distance: Online education in the United States, 2011. Babson Survey Research Group; Quahog Research Group. https://bayviewanalytics.com/reports/goingthedistance.pdf
- Almazova, N., Krylova, E., Rubtsova, A., & Odinokaya, M. (2020). Challenges and Opportunities for Russian Higher Education amid COVID-19: Teachers’ Perspective. Education Sciences, 10(12), 368. Retrieved from https://www.mdpi.com/2227-7102/10/12/368
- Anderson, T. (2008). The theory and practice of online learning: Athabasca University Press.
- Aranganayagi, S., & Thangavel, K. (2007, 13-15 Dec. 2007). Clustering Categorical Data Using Silhouette Coefficient as a Relocating Measure. Paper presented at the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).
- Becher, T. (1994). The significance of disciplinary differences. Studies in Higher Education, 19(2), 151-161. doi:10.1080/03075079412331382007
- Berry, S. (2019). Faculty perspectives on online learning: The instructor’s role in creating community. Online Learning, 23(4), 181-191. doi:10.24059/olj.v23i4.2038
- Bolliger, D. U., & Halupa, C. (2022). An Investigation of Instructors’ Online Teaching Readiness. TechTrends, 66(2), 185-195. doi:10.1007/s11528-021-00654-0
- Bolliger, D. U., & Martin, F. (2021). Critical design elements in online courses. Distance Education, 42(3), 352-372. doi:10.1080/01587919.2021.1956301