Chinese Learners of Portuguese and Spanish Majors in Macau: A Comparative Case-Study of Motivation Aspects
Bibliographic record
Abstract
This study investigated multiple learning motivation aspects of Chinese university students in Macau majoring in Spanish and Portuguese. A mixed methods research was employed by using questionnaires and interviews. 181 learners (96 Portuguese and 85 Spanish majors) were surveyed about ten language-learning motivation dimensions by using a questionnaire. A subset of participants from questionnaires were later given follow-up interviews. Quantitative and qualitative data indicated that the students in these majors had strong intrinsic motivation but limited integrative motivation towards the target language community. Other motivational pull-factors were the heritage connection between the language and the place of study and interest in the pop-culture associated related to the target language. Students reported a decline in motivation during the middle years of study, however, Spanish students’ interest resurged by the end of year three. There was also a gender imbalance, suggesting that career-related aspects of motivations were stronger among males. The results also revealed that language learners had an ideal-self that was multilingual and cosmopolitan but did not aspire to integrate into a specific target-language community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".