Rock or Lock? Gamifying an online course management system for pronunciation instruction
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
This one-group quasi-experimental study aimed to determine the effectiveness of using a gamified course management system with points, badges (and consequently competition) to facilitate the development of English phonology in a foreign language context in Japan. To implement this idea, we focused on the acquisition of English segments /r/ and /l/ in production (as in /r/ock and /l/ock respectively). During the study, participants were asked to engage in gamified pronunciation activities over a period of two weeks, using a popular learning site (Moodle). The data collection instruments included pre- and posttests to examine the production development of /r/ and /l/ (using controlled aural elicitation tasks), a written follow-up questionnaire, and user logs to investigate users’ perceptions of the pedagogy utilized. The results indicate that participants benefited from the proposed gamified system for L2 pronunciation instruction, as they improved their production of the target English /r/ and /l/ segments. In addition, responses from the interviews and user logs revealed that participants perceived using the site as enjoyable, anxiety-reducing, and pedagogically useful.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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