Laboratoire inversé en génie mécanique | Flipped Laboratory in Mechanical Engineering
Bibliographic record
Abstract
Le format classique d’enseignement de travaux pratiques implique typiquement que les étudiant.e.s défilent à la chaîne dans un laboratoire pour réaliser des expériences en suivant un protocole prédéfini en faisant des manipulations dirigées et encadrées dans un contexte de temps limité et parfois même chronométré. Ce format met de la pression sur les ressources techniques souvent nécessaire en grand nombre et aussi sur les étudiant.e.s qui doivent réaliser leur laboratoire dans un temps défini, laissant peu de place à l’apprentissage par exploration. Afin de palier à ces lacunes dans notre cours « Méthodes expérimentales et instrumentation en mécanique », une nouvelle approche pédagogique a été adoptée, celle des « laboratoires inversés », accompagnés d'un kit d'instruments à bas coût acheté par les étudiant.e.s. Cela permet aux étudiant.e.s de poursuivre leur travail à domicile, à leur propre rythme, après l’avoir commencé en groupe en classe. Cette étude présente les résultats d'un sondage réalisé auprès des étudiant.e.s ayant suivi ce cours, portant sur différentes facettes de leur expérience. Après avoir présenté la méthodologie utilisée pour mener l'étude, les résultats seront exposés sous forme de tableaux et de graphiques. La tendance générale montre une satisfaction des étudiants vis-à-vis de cette approche. The traditional format of teaching an experimental course typically involves students rotating through a laboratory to conduct experiments by following a predefined protocol, performing directed and supervised tasks within a limited time, with the tasks sometimes even timed. This format puts pressure on the technical resources, which are often needed in large numbers, as well as on the students, who must complete their laboratory work within a set time, leaving little room for learning through exploration. To address these shortcomings in our "Experimental Methods and Instrumentation in Mechanics" course, a new pedagogical approach called "inversed laboratories" was adopted, which involves a low-cost instrument kit purchased by the students. This approach allows the students to continue their work at home at their own pace after starting it in group during class. This study presents the results of a survey conducted among students who took this course, covering various aspects of their experience. After presenting the methodology used to conduct the study, the results will be shown in the form of tables and graphs. The general trend shows the satisfaction of the students with this approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.042 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".