The Role of Prior Online Learning Experience in Student Learning under ERT – A Comparative Study
Bibliographic record
Abstract
The pandemic provided great research opportunities in learning/teaching. How was students’ learning experience under emergency remote teaching (ERT)? The purposes of this study are to explore students’ learning experience, and to observe any differences under two lenses – internationalization and prior online learning. An online study was conducted in the Management/Business programs of a major Canadian research university and four Russian universities in 2021. A total of 683 students participated in this study, two-thirds of which were Canadian and one-third were Russian. The degree of internationalization (e.g. international students) is higher in Canadian universities, while a higher percentage of Russian students had prior online learning experience before the pandemic in this study. The research findings showed that the degree of internationalization did not play a significant role in the difference of student learning; while the prior learning experience played a crucial role under ERT. Russian students adjusted better to the new learning mode, reported a more positive view of online learning, had a better learning experience and performance, and had a preference to continue with online learning post-pandemic. This research sheds light on students’ preference for online learning that was influenced by prior exposure to online learning.
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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 | 0.000 |
| 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".