Navigating campus life in a pandemic: the social and academic realities of students in Ghana’s public universities during covid-19
Bibliographic record
Abstract
The covid-19 pandemic affected the lives of millions of people worldwide including tertiary education students. The study explored the impact of covid-19 on social and academic lives of tertiary education students in Ghana. The research was positioned within the exploratory design in ascertaining in-depth data from purposively selected students. The study used the interview guide as an instrument in gathering data and showed that most students obtained their knowledge on covid-19 from families, friends, media and Ghana Health Service. However, information received about the disease from social media was mostly accompanied with myths which impaired the thoughts of students. Psychologically, students’ preparedness for academic activities were affected especially for those who did not have funds to buy laptops and/or data bundles. Although covid-19 was an opportunity for family members to reunite, it limited religious activities, social events and family gatherings. It was recommended that the university management and Ministry of Education should provide financial and material assistance via the supply of laptops and the make provision for reliable internet connectivity to students. Ghana’s education sector should effectively embrace e-learning as a pro-active measure so as to help cushion the effects of such an event on learning in case of reoccurrence.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".