Teacher adaptations to support students with special education needs in French immersion
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
Abstract As of late, French immersion (FI) teachers have been encouraged to adapt their instruction to support the inclusion and success of students with learning difficulties. In particular, pedagogical concepts such as Universal Design for Learning (UDL) (National Center on Universal Design for Learning, 2014) and differentiated instruction ( Tomlinson, 2004 ) have been promoted as means to do so. This study used observations of nine FI teachers’ classes with the view to exploring their adaptations for students with learning difficulties in hopes of identifying future professional development directions. The observations revealed that the FI teachers were aptly adapting their instruction for the class as a whole whereas they were less apt to modify for individual students. In order to further their inclusive practices, the FI teachers in this study would benefit from future professional development opportunities that focus on differentiating instruction for individuals and conversations about if and how teacher language choices can provide additional means of differentiation.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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