Global Perceptions of Faculties on Virtual Programme Delivery and Assessment in Higher Education Institutions During the 2020 COVID-19 Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Amidst the outbreak of COVID-19 worldwide, virtually all national governments declared a “lockdown” of all institutions in a bid to curtail its spread. This posed serious challenges to programme delivery and assessment in Higher Education Institutions (HEIs), with foreseeable long and short-term consequences. This study investigated the effectiveness of virtual programme delivery and assessment in Higher Education Institutions (HEIs) during the COVID-19 (Corona Virus) pandemic, from a global perspective. The study assesses the success rate of virtual teaching and learning via various online platforms that were set up to make up for time lost due to the unanticipated global HEIs closure. Organisational Change Theory was used to inform the study, within the confines of simple qualitative research approach. Data were collected using interview while participants were selected through convenience sampling technique via online platforms such as the reputable online academic community, email, WhatsApp, and the UNESCO website. Data were analysed using thematic analysis. The findings revealed disparities in responses to virtual learning across HEIs and national contexts. Training and re-training of lecturers and students, and the provision of virtual learning enabling infrastructure, were recommended to mitigate similar situation in future.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it