Teachers and Teacher Candidates Learning Together: Reported Ideas Regarding a Co-Teaching Model
Bibliographic record
Abstract
A recurring issue in science teacher education is how to support teachers using student-centred scientific inquiry projects. This study investigates the first year of a three-year project (Inquire Together) that aims to support teacher candidate/teacher mentor teams using student-centred scientific inquiry projects while co-teaching during practicum. Co-teaching involves two or more teachers working together, co-planning, co-instructing and co-reflecting, for the benefit of students and to support each other’s development as teachers. The steps in the first year of the Inquiry Together project involved the following: a) developing a co-teaching model for our practicum in a two-day workshop, follow up focus groups and interviews; b) modelling student-centred scientific inquiry opportunities for teacher candidates and teachers; and c) supporting two teacher candidate/teacher mentor co-teaching teams implementing this pedagogy with practicum classes. The Covid-19 pandemic led to co-teaching teams moving to online teaching part-way through practicum, and students continuing their projects at home. We used a case study approach to investigate the affordances and constraints of Inquire Together for supporting teachers using student-centred scientific inquiry projects. Data included video and audio recordings of the workshop, focus groups, interviews, co-teacher planning meetings, high school classes and co-teacher reflection meetings, as well as co-teachers’ unit and lesson plans and online communication. Our initial findings from thematic analysis indicate the importance of the following five elements: time together for co-teaching teams outside the classroom (for planning and reflection); co-teachers developing mutual understanding; making equity between co-teachers visible for students; communication; and both teachers’ engagement in all activities.
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How this classification was reachedexpand
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".