Multilingual pedagogies and digital technologies to support learning STEM in schools in France and Canada
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
For many years, French and Canadian schools have welcomed students from around the world. This article presents the Binogi/ESCAPE project, which supports the integration of a multilingual digital resource in the classroom that presents STEM content through a multilingual lens with associated animated videos and quizzes. The study aims to encourage the inclusion of multiple languages in STEM content in both language-based (FSL/ESL) and content-based (STEM) classrooms. Researchers collected data during the 2020–2022 school years through focus groups, interviews, logs, observations, and questionnaires. Study participants included 17 teachers in France and 18 teachers in Canada. The results show that opening up to languages through a multilingual resource works as a springboard, allowing teachers and their students to find innovative ways to include other languages. Teachers who have used the resource have also appreciated the use of Binogi for instructional differentiation. Binogi's multilingual features supported translanguaging activities in the classroom, linking STEM content to literacy activities. However, more research is needed to understand how to train teachers to use multilingual resources to better support newcomer students.
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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 | 0.000 | 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