“I Did Not Sign Up For This”: Student Experiences of the Rapid Shift from In-person to Emergency Virtual Remote Learning During the COVID 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
Abstract Objectives: The main objective of this study was to explore students’ experiences of the emergency virtual remote teaching, which was implemented as a result of the COVID-19 pandemic. Method: 439 students enrolled at a community college in Canada responded to a survey that had Likert-scale and open-ended questions. Anderson’s model for online learning was used as an analytic lens to gain insight on student experiences. Descriptive statistics were used to make meaning of the data. Thematic analysis was done on student responses to open-ended questions. Results: Findings were organized according to Anderson’s six factors in online teaching, namely: (a) Independent Study; (b) Peer, Family, & Professional Support; (c) Structured Learning Resources; (d) Community of Inquiry; (e) Communication; and (f) Paced, Collaborative Learning. The study revealed both challenges and opportunities that students experienced during their transition to emergency virtual remote learning. Conclusions: The invitation to students to share what worked—and what didn’t—yielded a wealth of specific suggestions for engaging students, promoting accountability, and supporting collaborative learning. Implication for Practice: This study looked past anticipated pressure points to reveal critical teaching factors that challenge—or enable—students as they transition to emergency virtual remote teaching. Post-secondary instructors would be well served to consider how they promote self-efficacy, provide access to supports, fashion an online learning environment, develop community, communicate expectations, and encourage collaboration.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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