Learning in Higher Education Under the Covid-19 Pandemic: Were Students More Engaged or Less?
Bibliographic record
Abstract
This study explored students’ learning experiences in higher education during the Covid-19 pandemic. A journal writing methodology was used to extract learners’ reflective thoughts regarding their living and learning during the pandemic outbreak. The results were interpreted through the views of relevant student engagement frameworks. The students’ structural factors (family, support, and pressure) were impacted because of political and sociocultural factors (restrictive measures in response to the pandemic outbreak) within which the university factors were embedded (total closure with online education, subsequent reopening allowing physical attendance, and later principal distance education with approved exceptions), which collectively and psychosocially influenced students’ life and studies. The learners self-adapted via their individual efficacy to tackle the unfamiliar situations by digitally reaching out to family/friends and enhancing skills/self-learning; learner differences in learning style and preferences were noted. Online courses offered flexibility for learning independent of time and space while social presence in the learning community during online lessons remained less effective; traditional values of face-to-face physical classrooms were recognised among some learners. Learners’ perceived effective engaging measures underscored the importance of ensuring learner well-being (counselling and mask-wearing), learning independence (online lecture recordings and optional attendance), and strengthening online learning experiences (building the learning community, enhancing class dialogue, and demonstrating problem-solving techniques). Recommendations for engaging learning were discussed.
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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 | 0.037 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".