A task-based framework for oral language instruction in support of young language learners in Frenchimmersion
Bibliographic record
Abstract
Abstract In Canada, French immersion (FI) is a popular language program. In addition to needing strong pedagogies for language and content instruction, primary FI teachers need to attend to students’ age, cognitive level, and lack of exposure to the target language. We turned our attention to the potential of task-based instruction to conduct a two-year classroom-based study exploring communicative tasks designed specifically for young language students in FI. The study led to the development of an instructional sequence for task-based instruction for children ages 5–6, grounded in the Gradual Release of Responsibility model and scaffolded instruction. In addition to presenting this pedagogical framework, we discuss identify promising task-based pedagogical principles at play and highlight pathways for classroom application. We also discuss communicative tasks proposed to young students and offer the use of symbolic play as a type of task that shows promise for young learners in second language learning contexts.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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".