Notice bibliographique
Résumé
In this paper, I propose a renewed look at how teaching assistants (TAs) are being prepared to fulfill their duties in higher education. I argue that the apprenticeship model of learning that is currently in use be replaced by the more holistic workplace learning approach. Workplace learning theories take into consideration the complexity of the learning situation of the TA. The teaching assistant came into my office to talk about the work that she had been assigned. Quite distraught, she relayed how she knew nothing about the course content and did her best to follow the guidelines provided by the course supervisor. Despite seeking teaching support, students in the TA’s lab soon began to lack confidence in her as their teacher. In turn, her confidence was shattered and her ability to perform as a TA quickly diminished. It is often the case that when I walk across campus, faculty will stop me to tell me his or her story about working with teaching assistants. One day, a professor told me the story about how she had found out, due to poorly graded assignments that the TA, instead of grading the assignments herself, had delegated this to her husband, who was not affiliated with the discipline or university. In my role as the TA Training Program Manager at the University of Victoria (UVic), I hear many stories about TAs. No matter if the story comes from a teaching assistant (TA) or faculty member, both are seeking the same end result – that TAs do their job well. Too often a TA feels he or she is not able to fulfill his or her duties sufficiently because of a lack of skills and required knowledge, which leads to a lack of confidence and employing inappropriate methods of approaching his or her work. My colleagues and I at institutions across North America devise programs and courses that address issues pertaining to TAs’ lack of skills and confidence. I began working in the field of teaching assistant training and graduate student professional development in 2006. At that time, one of the main foci was on programs that prepared graduate students to be faculty members. This focus was influenced by the introduction in the early 2000s of a heavily-funded program in the United States (US), called Preparing Future Faculty (PFF) that favours professional development of future faculty. Despite similar programs already existing, the development of this program helped spawn PFF-type programs at most higher education institutions in North America. UVic, as with many Canadian post-secondary institutions, had such a program put in place in the mid-2000s. The program at UVic changed in 2012 (approved by Senate in January with first intake of students in September, 2012) to become Learning and Teaching in Higher Education (LATHE), a six-unit (two 1.5 credit courses, and one 3.0 credit course) graduate certificate program that is listed on the student’s transcript (not just a notation Collected Essays on Learning and Teaching, 2014, Vol VII, No 2
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 | 0,013 | 0,053 |
| 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 | 0,007 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,004 |
| 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 ».