"How Does Academic Administrator Manage Teaching and Learning During Crisis in a Private University? - A Conceptual Paper"

Covid-19 pandemic has significantly change how education was carried out. The closure of education institution due to the spread of the virus provides various challenges to academic administrators. They were tasked with ensuring the continuity of the lessons during the pandemic. Academic administrators are required to manage the teaching and learning, they are tasked with creating the new syllabus, providing the technical support, ensuring the well being of the lecturers, and creating new ways of conducting the lessons. There are limited studies of the effect of Covid-19 towards academic administrators. Most of the studies carried out focus on students and teacher/lecturers. This conceptual paper attempts to examine how academic administrators manage teaching and learning during crisis based on the reviews of related existing literature. The paper will conclude with a proposal of recommended research on how academic administrators manage teaching and learning during crisis.

academic administrator, crisis

1. Altbach, P. G., & de Wit, H. (2020). Postpandemic outlook for higher education is bleakest for the poorest. International Higher Education, (102), 3-5. [Google Scholar] [Crossref]

2. Boin, A., & 't Hart, P. (2010). Organising for effective emergency management: Lessons from research. Australian Journal of Public Administration, 69(4), 357-371. [Google Scholar] [Crossref]

3. Coombs, W. T. (2014). Ongoing crisis communication: Planning, managing, and responding (4th ed.). SAGE Publications. [Google Scholar] [Crossref]

4. Darby, F. (2020). How to be a better online teacher: A guide for academics. The Chronicle of Higher Education. [Google Scholar] [Crossref]

5. Fullan, M., & Scott, G. (2014). Education plus: The world’s next mega-policy. New Pedagogies for Deep Learning. [Google Scholar] [Crossref]

6. Heifetz, R. A., Grashow, A., & Linsky, M. (2009). The practice of adaptive leadership: Tools and tactics for changing your organization and the world. Harvard Business Press. [Google Scholar] [Crossref]

7. Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review. [Google Scholar] [Crossref]

8. ICEF Monitor. (2020). Maintaining quality through crisis and beyond: The future of international education. http://monitor.icef.com/2020/05/maintaining-quality-through-crisis-and-beyond-the-future-of-international-education/ [Google Scholar] [Crossref]

9. Lederman, D. (2020). Will shift to remote teaching be boon or bane for inline learning? Inside Higher Ed. [Google Scholar] [Crossref]

10. Marinoni, G., van’t Land, H., & Jensen, T. (2020). *The impact of Covid-19 on higher education around the world: IAU global survey report*. International Association of Universities. [Google Scholar] [Crossref]

11. Temple, P. (2020). The university and the public sphere: The political theory of institutional governance. Studies in Higher Education, 45(1), 12-23. [Google Scholar] [Crossref]

12. Treadwell, S. M., Achet, S., & Achet, S. (2018). Crisis management in higher education: A study of situational crisis communication theory and its application to university crises. Journal of School Public Relations, 38(4), 443-467. [Google Scholar] [Crossref]

13. Williamson, B., Eynon, R., & Potter, J. (2020). Pandemic politics, pedagogies and practices: Digital technologies and distance education during the coronavirus emergency. Learning, Media and Technology, 45(2), 107-114. [Google Scholar] [Crossref]

14. Zemsky, R. (2013). Checklist for change: Making American higher education a sustainable enterprise. Rutgers University Press. [Google Scholar] [Crossref]

• What the Desert Fathers Teach Data Scientists: Ancient Ascetic Principles for Ethical Machine-Learning Practice
• Comparative Analysis of Some Machine Learning Algorithms for the Classification of Ransomware
• Comparative Performance Analysis of Some Priority Queue Variants in Dijkstra’s Algorithm
• Transfer Learning in Detecting E-Assessment Malpractice from a Proctored Video Recordings.
• Dual-Modal Detection of Parkinson’s Disease: A Clinical Framework and Deep Learning Approach Using NeuroParkNet