Working Conditions for K-12 Distance & Online Learning Teachers in Canada
Notice bibliographique
Résumé
“Teacher unions in Canada have had concerns about developments in online learning, but have generally been supportive if they have felt conditions were appropriate,” according to the Director of Research and Technology at the British Columbia Teachers’ Federation (BCTF). This sentiment has been echoed by the researchers involved in the annual State of the Nation: K- 12 E-Learning in Canada. These researchers have also underscored the fact that teacher unions have also been active in conducting research to investigate how teaching in the distance education and online learning environment is different than teaching in the classroom, and what impact that has on the nature of work and quality of work life for its members. The present study is an example of this exploration.\nThis report describes a study conducted to explore written provisions for the working conditions of K-12 distributed learning teachers in Canada (i.e., distance education and online learning are generally referred to as distributed learning throughout the report). At present, there is one provincial jurisdiction that includes language in their collective agreement with teachers related to distributed learning. There are also two provinces where there is language in one or more local contracts focused on distributed learning. Finally, there was one province where the provincial teacher union had a significant policy related to distributed learning.\nWithin these documents, there were consistent themes around 1) defining distributed learning; 2) clauses focused on teacher working conditions in the distributed learning environment; 3) responsibilities for the schools and/or school boards that choose to operate distributed learning programs; and 4) mechanisms to allow for consultations between those operating the distributed learning program and the union. In all of these themes, there are actually few regulations that go beyond what would be expected for traditional brick-and-mortar education. The main areas where distributed learning teachers were treated differently than face-to-face teachers were for legal reasons, as well as the provision for consultations between distributed learning operators and their respective unions. These unique aspects are reflective of stakeholders’ efforts to examine what constitutes the equivalent experiences for teaching in the distributed learning environment relative to traditional classroom teaching.
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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 | 0,000 | 0,000 |
| 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 | 0,001 | 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 ».