COVID-19 and online teaching in higher education: A discrete choice experiment

Q4 Mathematics Model Assisted Statistics and Applications Pub Date : 2023-06-15 DOI:10.3233/mas-221403

E. Nyarko, Eddie Agyemang, D. Arku

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Abstract

The Sars-Cov-2 coronavirus outbreak significantly impacted Ghana’s educational system, driving schools to close campuses and swiftly deploy online instruction. This study evaluated e-teaching in higher education amidst the Sars-Cov-2 coronavirus by using the University of Ghana as a case study. Specifically, the study investigated university instructors’ preferences for online instructional strategies to enable higher educational institutions to transit smoothly into online teaching and learning. With the help of a face-to-face questionnaire administration, this cross-sectional study used a discrete choice experiment design to capture the responses of 230-course instructors. The analysis of the survey data obtained was possible using the multinomial logit model. Our results revealed that a recorded lecture video had the highest preference among the course instructors, breakdown of teaching content for approximately 30 to 45 minutes, providing online tutorials, and online support/video tutoring from teaching assistants were the important instructional attributes to help higher educational institutions transition into online teaching and learning.

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COVID-19与高等教育在线教学:一个离散选择实验

新冠肺炎疫情严重影响了加纳的教育体系，迫使学校关闭校园，并迅速部署在线教学。本研究以加纳大学为例，对Sars-Cov-2冠状病毒背景下的高等教育电子教学进行了评估。具体而言，本研究调查了大学教师对在线教学策略的偏好，以使高等教育机构顺利过渡到在线教学和学习。在面对面问卷管理的帮助下，本横断面研究采用离散选择实验设计来捕捉230门课程教师的回答。对所获得的调查数据进行分析可以使用多项逻辑模型。研究结果显示，教师最倾向于录播教学视频，将教学内容分解为约30 - 45分钟，提供在线辅导，以及助教的在线支持/视频辅导是帮助高等院校过渡到在线教学和学习的重要教学属性。

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来源期刊

Model Assisted Statistics and Applications Mathematics-Applied Mathematics

CiteScore

1.00

自引率

0.00%

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期刊介绍： Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.