Sangeeta Sangeeta s.sangeeta@keele.ac.uk
For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science
Lal, Sangeeta; Mourya, Rahul
Authors
Rahul Mourya
Contributors
Sangeeta Sangeeta s.sangeeta@keele.ac.uk
Project Leader
Abstract
The COVID-19 pandemic has completely transformed the education sector. Almost all universities and colleges have had to convert their normal classroom teaching to online/remote or hybrid teaching during the COVID-19 pandemic. Online teaching has been found quite useful during an emergency situation. This switch to online teaching forced educators to come out of their comfort zone and learn new tools and techniques for online teaching. It is important, therefore, to analyse the problems faced by educators in online teaching because this has become the new normal. There are several studies identifying the issues faced by educators in online teaching but less is known about the issues faced by Computer Science (CS) educators. In this paper, we perform an exploratory study of the problems, questions, and associated responses from CS educators posted on popular Q&A forums, e.g., CS educators StackExchange. We identified six main challenges related to online teaching: platform recommendation, Q&A management, academic dishonesty, pair programming, and feedback mechanism. Several recommendations are provided by other CS educators in each of the categories, which are discussed in detail in this paper. This study will help organizations come up with better solutions to support their educators so that they can deliver better quality education and reduce the overall stress levels of staff.
Citation
Lal, S., & Mourya, R. (in press). For CS Educators, by CS Educators: An Exploratory Analysis of Issues and Recommendations for Online Teaching in Computer Science. Societies, 12(4), 116. https://doi.org/10.3390/soc12040116
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 8, 2022 |
Online Publication Date | Aug 11, 2022 |
Deposit Date | Mar 11, 2024 |
Journal | Societies |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 4 |
Pages | 116 |
DOI | https://doi.org/10.3390/soc12040116 |
Keywords | General Social Sciences |
Public URL | https://keele-repository.worktribe.com/output/773979 |
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