Incorporating Video-Mediated Reflective Tasks in MATESOL Programs
Why this work is in the frame
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Bibliographic record
Abstract
Unlike the observed trends in general teacher education, the use of videos as a re-flective tool with preservice English as a Second Language (ESL) teachers remains underexplored in MATESOL (Master of Arts in Teaching English to Speakers of Other Languages) programs. The present qualitative study examined how 5 non- native-speaking preservice teachers used the videos of their own microteaching performances to mediate their reflective practices. The results from the qualitative analysis of the participants’ post-microteaching reflective reports showed that they used videos to explore their professional and non-native identities, practical knowledge base, and pedagogical knowledge base. The results are discussed with respect to their implications for educational practice with preservice ESL teachers.Contrairement aux tendances générales observées dans la formation des en- seignants, l’emploi des vidéos comme outils de réflexion lors de la formation d’enseignants d’anglais langue seconde (ALS) n’a pas fait l’objet d’étude dans le cadre des programmes de maitrise en enseignement de l’anglais aux apprenants étrangers (MATESOL). L’étude qualitative présente porte sur l’emploi qu’ont fait 5 enseignants de langue maternelle étrangère en formation de vidéos de leur microenseignement comme outils d’intervention auprès de leurs pratiques réflex- ives. Les résultats de l’analyse qualitative des rapports réflexifs rédigés par les participants après leur microenseignement indiquent qu’ils se servent des vidéos pour explorer leurs identités comme professionnels et locuteurs étrangers, ainsi que leur base de connaissances pratiques et pédagogiques. On discute des résultats par rapport à leur incidence sur la pratique éducative des enseignants d’ALS en formation.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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