Language Activities by Foreign Students at Jissen Women's University : Centered on "Speaking" Activities
Bibliographic record
Abstract
There are currently a total of eleven foreign students from China, the Netherlands, Canada, Italy and Korea attending Jissen Women's University (JWU). There has been a gradual increase in the number of foreign students and more growth in these numbers is expected in the future. The purpose of my paper is to determine where foreign students use Japanese in their daily lives as instructional resource data for the teaching of Japanese at JWU. My research was based on interviews which I conducted with foreign students at JWU and native Japanese speakers who interact with them. The data obtained from these interviews indicate that foreign students use Japanese primarily in places such as the dormitory, shops including supermarkets and department stores, public offices such as police stations, the city hall, workplaces, or during university related occasions. As for the foreign students using Japanese with friends, the content of their conversations is not limited to specific places. The usage of Japanese was much more limited in their personal domains compared with what was found in their language usage in educational and public domains. Moreover, the data shows that most of the tasks in which they used Japanese were at the beginner or intermediate levels, while the tasks at the advanced level were very few. In order to improve the effectiveness of Japanese language instruction to foreign students, it is necessary then to introduce tasks which incorporate language content that mirrors communicative situations that take place outside the university and to provide students with detailed explanations of the instructional intent behind these tasks. An investigation of former students and their usage of Japanese in actual, broad, language-use activities needs to be conducted to better understand Japanese language usage by foreign students.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".