English Presentation Skills of Thai Graduate Students
Bibliographic record
Abstract
This study addresses the English Presentation skills of graduate students and explores the ways to improve their skills. A cross-sectional research survey study was conducted among 26 students of the Master of Arts Program in English for Careers at Thammasat University, Thailand. The results showed that there are some statistically significant difference between English presentation skills of the students who studied Effective Presentations (the CR 752 students) and those who did not (the non-CR 752 students). The respondents suggested that the CR 752 students should improve their delivery most, while the non-CR 752 students should improve their organization/content and delivery most. It can be concluded from the findings that Effective Presentations (CR 752) should be a required course for all graduates studying in the Master Program in English for Careers. Students who take this course will develop their presentation skills which are viewed as professional competence required by employers. The respondents also thought that other graduate programs should also provide Effective Presentations course for their students.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".