Laboratory At Distance: Importance of Student’s Profile and Their Evaluated Experience
Bibliographic record
Abstract
The paper presents the implementation and the outcomes of a new pedagogical active approach for laboratory work in electrical engineering at École de technologie supérieure (ÉTS) using interactive experiments. The objective was the introduction of Laboratory At Distance (LAD) executed by students. This approach considers communication via Internet through appropriate software programs with miniaturized kit connected to Personal Computer (PC) where work could be done from home or from any place (Lab@home). The specificities of the communication are designed to continually evolve with new feats of Information and Communication Technologies (ICT). Judicious questionnaire for a survey was prepared to assess and validate the student’s satisfaction with this approach. Satisfaction, dissatisfaction, suggestions and comments highlighted by students in the survey showed that student’s profile is an important factor in bringing new approaches and suggested that the approach needs to be dynamic with necessary changes required during the application of LAD from one semester to another.
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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 | 0.000 | 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".