Mobile Technology-Mediated Language Learning: A Quantitative Study to Unravel Language Learners’ Achievement and Autonomy
Bibliographic record
Abstract
This study investigates the impact of mobile technology-mediated language learning (MTMLL) on the learners’ Balinese language learning achievement and autonomy. A quantitative approach research with quasi-experimental and survey designs was conducted. The data were collected through the tests and MTMLL questionnaire administration to fifty-eight primary school students in Bali, Indonesia. The data were analyzed statistically using SPSS 23 version. The results indicate that MTMLL has a positive impact on learners' achievement and autonomy. Participants reported that learners using MTMLL showed higher levels of achievement compared to those who did not use this technology. Additionally, MTMLL provided them with more control over their learning and allowed them to study at their own pace and convenience. The findings of this study contribute to the literature on MTMLL and local language learning by highlighting the importance of technology in promoting learners’ achievement and autonomy. The study suggests that MTMLL can be an effective tool for language learners to enhance their learning experience and achieve better outcomes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".