Collaboration between faculty members and the Center for teaching and learning at Polytechnique Montreal
Notice bibliographique
Résumé
The Center for teaching and learning at Polytechnique Montreal (PM) was created in 1977. Its mission is to encourage and help instructors to improve their teaching, and ultimately, contribute to improve student learning at both undergraduate and graduate levels. Among its many activities, the CTL provides a compulsory orientation, training, and integration program for new faculty members; offers consultations, workshops, and conferences; manages grants for pedagogical initiatives; and conducts house studies on pedagogical or academic issues. With time, CTL has had the opportunity to collaborate with PM leaders and faculty members, on a number of issues. For example, it has conducted house studies on the following topics: students’ learning strategies; students’ motivation to learn within different pedagogies (project-based; e-learning; traditional lecturing); three year follow-up study on the impact the revised programs have had on student learning and retention. CTL has published many articles whether in scientific or professional journals. CTL encourages and provides support for faculty members that publish in general or discipline specific engineering education journals. PM also funds and conducts engineering education research projects with the MATI (Maison des Technologie, house of technologies), specifically on the use of technology in the classroom and innovative pedagogy. MATI is a three-way partnership between HEC Montreal, University of Montreal and PM. They are currently working on the e-portfolio for the development of professional attributes in engineering. PM has also created a new category of instructors, called “chargé d’enseignement”. Their job is to teach full time at the undergraduate level. What sets them apart from ordinary part time instructors is that they must conduct research on their teaching, and actively participate in engineering education conferences. Finally, PM is contemplating allocating a chair for the scholarship of teaching and learning. This chair would be under a faculty member’ responsibility, and would help fund research on engineering education. It would also allow hiring PhD and master’s degree students.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».