THE INSTRUCTOR PARAMETERS OF TRANSITION TO FULLY ONLINE LEARNING

Author:

ILGAZ Hale1ORCID,YILDIRIM Denizer2ORCID,OZEL Nevzat2ORCID,DEMIR Salih2ORCID,SEVINDIK Mesut2ORCID

Affiliation:

1. ANKARA ÜNİVERSİTESİ

2. ANKARA UNIVERSITY

Abstract

Online learning has an old background and is an efficient method if applied correctly. However, during the pandemic period, it has been faced with a negative perception due to the wrong practices brought about by the mandatory and rapid transition. During this pandemic term, most educational institutions have offered support in this process to explain the process to both their students and instructors. This study examined XXX University instructors’ perspectives regarding the emergency remote teaching period in terms of their professional experience, discipline area, online instruction experience, and whether they received training in online instruction. Quantitative research methods were used in the study. An online instructor’s emergency remote teaching perspective scale has been developed and used as a data collection tool. A significant difference has been found in the discipline areas, online instruction experience, and participation in training program. From the results of the research, the need to support the instructors according to the needs specific to the disciplines has been revealed, and it is recommended to investigate the relationships between selfcompetency for online teaching and the perception of institutional support in depth.

Publisher

Turkish Online Journal of Distance Education

Subject

Education

Reference50 articles.

1. Akdemir, O. (2008). Teaching In Online Courses: Experiences Of Instructional Technology Faculty Members. Turkish Online Journal of Distance Education, 9(2), 97-108.

2. Albreiki, B., Zaki, N., & Alashwal, H. (2021). A systematic literature review of student performance prediction using machine learning techniques. Education Sciences, 11(9), 552.

3. 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

4. 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

5. Anderson, T. (2008). The theory and practice of online learning: Athabasca University Press.

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