Interview Testing: A Basis For Preparing Non-English Majors For Study Abroad
Bibliographic record
Abstract
This study attempts to evaluate, by means of an open-ended questionnaire given to students on their return from study abroad tours to Taiwan and Canada, the usefulness of the English conversation courses offered at our university in preparing students for such programs. It was hoped that the success achieved in language retention and communication (through spiral learning and contact with multiple teachers) as previously observed in a simulated environment (Nutt, 2017) could be transferred to a real scenario. Approximately three quarters of the attendees responded positively, citing usefulness in basic everyday conversations and self-introductions. Increasing the amount of class time devoted to listening, speaking, and pronunciation were suggested as possible improvements. Students’ attitudes towards English had also improved overall with many students wanting to study harder and some further adding they now understood the importance of English and how it changed their worldview. 本論は、台湾およびカナダへの海外留学から戻った学生たちに自由回答のアンケート調査を行うことにより、こうしたプログラムへの準備として私たちの大学が学生に提供している英会話コースの有用性を評価する試みである。模擬的状況にてすでに観察されたような（スパイラル学習と多様な教師との接触による）言語記憶力とコミュニケーション力における成果（Nutt, 2017）は、実際の状況においてもみられると期待された。およそ4分の3の参加者が、基礎的な日常会話や自己紹介における有用性を引き合いに出して肯定的に回答した。聞くこと、話すこと、および発音に割く授業時間を増やしたことがよかった点として挙げられた。生徒たちの英語に対する態度が全体的に改善し、多くの生徒がより熱心に学習したがるようになった上に、さらには英語の重要性と、それが彼らの世界観をどのように変えるかも理解するようになった。
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 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".