What practices are used by pre-service teachers to support the psychological needs of students? Validation of an observation grid for high school education
Notice bibliographique
Résumé
Internships are considered an essential part of the teacher education program (Kervick et al., 2020). In Québec and Belgium, pre-service teachers are expected to do a minimum of 700 hours of practical training (ME, 2020; FWB, 2000). While internships are perceived by trainees as the most important part of their training (Malo, 2010), high dropout rates among young Canadian and Belgian teachers, along with the burnout experienced by many of them (Hugues et al., 2014; Kamanzi et al., 2017), suggest they are not sufficiently prepared to face the profession’s demands. This raises a crucial question with regard to pre-service training: how can trainees be encouraged to reach their full potential, with the support of their trainers (associate teachers and university supervisors), to help them effectively negotiate their entry into the teaching profession? According to self-determination theory (SDT; Ryan & Deci, 2020), every individual has three basic psychological needs (BPNs) whose fulfillment is necessary for motivation, well-being and optimal functioning. These needs are autonomy (the individual perceives that they act voluntarily and have control over events), competence (they perceive that they interact effectively with their environment and that their actions generate desired consequences), and relatedness (they perceive that they are meaningfully connected to others, and that they have warm, reciprocal relationships with people they deem important). Many studies have documented the benefits of meeting these needs in a variety of professional fields, including teaching (Fernet et al., 2008; Reeve et al., 2003). In general, practicing teachers who perceive that their BPNs are met are more self-motivated (teaching is enjoyable and important), more engaged and more likely to exhibit behaviors that support their students' motivation and engagement (e.g., Pelletier et al., 2002). Fulfillment of BPNs, however, appears to depend on three factors found in the environment: autonomy support (the person feels that their perspective is recognized and that they are provided with opportunities to make their own choices), structure (they perceive that their environment is predictable, that expectations are clear and that they receive feedback that helps them meet expectations) and involvement (they perceive that they are cared about, given time and encouraged; Ryan et al., 2008). The purpose of our research is to validate an observation grid of the practices employed by pre-service teachers in the classroom in order to identify those that support their students’ psychological needs. High school pre-service teachers (mathematics, French, social sciences) shared with the researchers a video of themselves filmed during a complete teaching period. Three researchers coded each video according to a grid developed from the work of Reeve et al. (2003), and this cross-coding allowed for the triangulation of data (Hussein, 2009). The observation grid will be presented along with the potential support it could provide to trainee trainers (associate teachers and university supervisors).
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 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 | 0,030 | 0,099 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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 ».