Using Mobile Technologies With Young Language Learners to Support and Promote Oral Language Production
Bibliographic record
Abstract
The paper examines how the use of mobile technologies such as tablets and handheld MP3 players can support and promote oral language production among young language learners. It explores how the use of these mobile technologies in the language classroom supports pedagogical practices anchored in socioconstructivist theories of SLA that emphasize the role of dialogue and social interaction among young language learners. The paper is based on a collaborative action research project involving French Immersion teachers and their students in primary schools in a western province of Canada. Findings show that the affordances of mobile technologies contribute to the creation of innovative learning environments and authentic language learning experiences that support and promote the production of oral language among young language learners. The inquiry demonstrates the adoption of second language pedagogical approaches anchored in socioconstructivist theories of SLA that promote autonomy and a sense of agency among language learners.
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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 | 0.000 | 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 | 0.001 | 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 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".