Encouraging Free Play: Extramural Digital Game-Based Language Learning as a Complex Adaptive System
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
Massively multiplayer online role-playing games like World of Warcraft are ideally suited to encourage and facilitate second language development (SLD) in the extramural setting, but to what extent do the language learners’ actual trajectories of gameplay contribute to SLD? With the current propensity to focus research in digital game-based language learning on vernacular games, or commercially-available games that are designed with entertainment in mind, it is vital to focus on the extramural setting in which these games are designed to be played, while still being subject to rigorous and empirical analysis. This paper examines the extramural gameplay and language learning trajectories of four university German language learners as they play World of Warcraft with native German speakers. Positioning learners’ experiences within a complex adaptive systems framework (Larsen-Freeman & Cameron, 2008;
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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 | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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