(Re)Conceptualizing Design Approaches for Mobile Language Learning
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
An exploratory study conducted at George Brown College in Toronto, Canada between 2007 and 2009 investigated language learning with mobile devices as an approach to augmenting ESP learning by taking learning outside the classroom into the real-world context. In common with findings at other community colleges, this study identified inadequate language proficiency, particularly in speaking and listening skills, as a major barrier for ESL college learners seeking employment, or employers hiring and retaining immigrants as employees (CIITE, 2004; Palalas, 2009). As a result of these findings, language support was designed to provide English language instruction going beyond the standard 52-hour course: a hybrid English for Accounting course encompassing in-class, online and mobile-assisted ESP instruction. This paper reports on the pilot study of the mobile component of this re-designed course, which represents the first stage of an on-going Design-Based Research (DBR) study. Discussion is also offered of a new learning theory which we have called Ecological Constructivism (Hoven, 2008; Jakobsdottir, McKeown & Hoven, 2010), devised to incorporate the multiple dimensions of Ecological Linguistics and Constructivism in the situated and context-embedded learning engendered by these new uses of mobile devices.
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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 | 0.001 | 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 it