Language Shock: A challenge to language learning
Why this work is in the frame
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Bibliographic record
Abstract
As a result of globalisation and the development of technology, the number of population travellingand studying abroad is increasing dramatically, especially within some English speaking countries,such as America, Canada and Australia. Asian countries, however, have always been the mainsource of international students. Due to the significant differences in cultures and languages, thesestudents confront challenges and obstacles in both university mainstream lectures and languageclassrooms. This paper reports a recent study which investigates the understanding and experiencesof ten Asian background students in relation to language shocks. It involves the participation of tenAsian background students from the TESOL (Teaching English to the Speakers of Other Languages)program in the Faculty of Education at the University of Tasmania. Semi-structured interviews andfocus group meetings were organised to gather the live experience of these students. The results indicatethat the differences in cultures and language indeed have an impact on these Asian backgroundstudents English language learning/teaching. However, these shocks can be transformedinto a motivation of learning. Also, teachers and the university are expected to take an active role inpreparing their students in overcoming of culture and language shocks and the development of positiveattitude towards English language learning.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it