An Investigation to Language Uses in Mongolian Learners' Third Language Acquisition
Bibliographic record
Abstract
In Inner Mongolia Autonomous Region, many Mongolian students are learning English as a third language. In the process of L3 teaching and learning, their mother tongue Mongolian, second language Chinese and target language English are involved. The present paper aims to find out teachers’ and students’ opinions of the use of the three languages in the third language teaching and learning by Mongolian students at university and the reasons to this phenomenon are discussed. Furthermore, their English learning experience and L2 proficiency are explored. The main findings revealed that Chinese teachers believe that English should be used to the fullest to maintain the maximum use of the target language with the help of Mongolian for the support; however, the majority of Mongolian teachers and Mongolian students believe that Chinese can be used as the main medium instructional language for various reasons, and it is effective to use all the three languages according to the different stages of teaching and the proficiency levels of the three languages.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".