INVESTIGATING THE IMPACT OF ONLINE LEARNING ON ENGINEERING STUDENTS’ SOCIALIZATION EXPERIENCES DURING THE 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
The global shift to online learning prompted by the COVID-19 pandemic has accentuated how learningonline alters postsecondary students’ socialization experiences and learning outcomes. In December 2020, alarge Canadian engineering faculty surveyed its undergraduate students to assess their learning experiences in the exclusive online environment during the pandemic. This paper used qualitative data from the survey, as complemented by descriptive quantitative results, to explore how the online environment impacted engineering students’ socialization processes and their perception of learning. Using Weidman’s model of socialization, this paper contributes to better understandings of the individual and particularlyenvironmental factors that have influenced engineering students’ socialization processes while they learn online during the pandemic, and the importance of social interactions to student learning in engineering education.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it