A Study on the Impact of the Sudden Change to Online Education on the Motivation of Higher Education Students
Bibliographic record
Abstract
This study investigates the extent to which students’ motivation has changed following the decision to offer all courses entirely online as an emergency remote teaching (ERT). Many scholars describe online learning as the future of education. This mode will soon replace on-campus instruction; thus, such a study is important for higher education institutions (HEIs) that decide to use technology platforms at the times of unpredicted crises. Recent research has focused attention on student motivation in online learning contexts. However, this project results from the sudden transformation to remote online learning caused by COVID-19. The study involved 20 students from an Omani university who participated in four focused group discussions. The findings revealed that students’ motivation in remote online learning is impacted by several academic factors (e.g., teachers and lack of group work) and non-academic factors (e.g., internet connectivity and family obligations).
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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 | 0.001 |
| Science and technology studies | 0.001 | 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 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".