Data-driven Decisions of Higher Education Instructors in an Era of a Global Pandemic
The impact of the COVID-19 pandemic on the higher education sector has been overwhelming, with emergency responses that have affected decision-making processes. Yet, our understanding of higher education instructors’ perspectives regarding the process of data-driven decisions, especially in times o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Online Learning Consortium
2023-06-01
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| Series: | Online Learning |
| Subjects: | |
| Online Access: | https://olj.onlinelearningconsortium.org/index.php/olj/article/view/3452 |
| Summary: | The impact of the COVID-19 pandemic on the higher education sector has been overwhelming, with emergency responses that have affected decision-making processes. Yet, our understanding of higher education instructors’ perspectives regarding the process of data-driven decisions, especially in times of emergency, is still limited. We aimed at characterizing the types of data-driven decisions that higher education instructors have made in their courses. This was done while asking the instructors to reflect upon a face-to-face (F2F) course that was suddenly shifted to emergency remote teaching (ERT), due to the COVID-19 pandemic outbreak. Taking a qualitative approach, data were collected via an open-ended online questionnaire distributed among 109 higher education instructors from different countries. The findings suggest that the instructors mentioned a wider range of data sources, and a wider range of data-driven decisions while referring to the ERT mode, compared with their F2F instruction. In F2F teaching, the instructors mostly provided students with real-time educational assistance. In ERT, the instructors mostly adjusted the course requirements, promoted collaboration among students, and offered them social and emotional support.
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| ISSN: | 2472-5749 2472-5730 |