How Diversifying / Updating the Teaching Team Has Positively Affected Teaching
Notice bibliographique
Résumé
Abstract Diversity is a key concern for universities, especially in the engineering field. North American universities have been recently pushing for diversity, equity, and inclusion in their education system. University X started by diversifying the teaching team in one of its engineering programs to check the effectiveness of diversifying the teaching team on the education system. It replaced the teaching team for two courses from white males of European descent to racialized females with no other instructions on how to deliver their courses. Both teams were given the same teaching notes and instructions to teach from, however it was fascinating to see what levels these courses were taken to by just diversifying the teaching team. In one of the studio courses, the principals of universal design have never been included explicitly in years past. The previous lecture material, which served to introduce a similar project that focused on furniture design in past years, included slides that referenced "man as the universal standard" and contained many slides of architectural graphic standards based on the average European man's body proportions. In 2022, the teaching team is entirely female, bringing more diversity to the presentation of materials than ever before. The instructors are focusing on human-centered design and universal design methods in multiple lectures over the course, encouraging students to design equitable user experiences and empathize with the diversity of the greater public. In another mechanics course, the female instructor transformed the activities delivered in the class to include the ethical and social impact effects. She did so by transforming the delivery of the same hands-on activity from a simple report to a presentation to middle school kids in the community around them. The aim was to present the mechanics concepts learned in class through hands-on activities to middle-school kids while focusing on how such structures affect society. They need to do so through well guided ethical behavior guidelines taking into consideration their audience and engaging all students with their different capabilities. The aim was to increase the engagement of women and marginalized students and kids in such activities as they get to clearly relate to the benefits to the society for these structures and the engineering disciplines in general. This paper discusses in detail the transformation done through these two courses by the simple fact of diversifying the teaching team as well as the effects noticed on the education system
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,073 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,003 |
| Communication savante | 0,011 | 0,004 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».