Building and Maintaining Self-Efficacy Beliefs: A Study of Entry-Level Vocational Education and Training Teachers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
New vocational education and training (VET) teachers in Quebec (Canada), as in other countries (e.g., France, the Netherlands, Norway, Sweden, Switzerland, the United States), face specific challenges and experience an atypical process of entry into the teaching profession. In addition to the known professional induction challenges, which requires numerous adjustments in terms of organizational integration and socialization as well as on a personal level, new VET teachers also experience a major professional and identity transition: they shift from experts in their field to novices in the teaching field. Moreover, as they are not generally trained in pedagogy, new teachers must enroll in a mandatory teaching bachelor's program once they are fully in charge of a class and its educational responsibilities. This complex process calls for a closer look at ways to facilitate their induction experience. Specifically, because it is closely related to motivation, engagement, and performance, this study focuses on their perceived self-efficacy as teachers. This study focused on 21 new VET teachers in the francophone province of Quebec, Canada, and aim to identify different strategies through which they succeeded in developing and maintaining their self-efficacy: strategies related to 1) the work of teaching, 2) mobilization of resources, 3) professional development, and 4) attitudes and well-being at work. These strategies allow us to gain a deeper understanding of previously unexplored aspects of the reality of these teachers, and to propose avenues for the development of interventions targeting their needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it