English Oral Communication Apprehension in Students of Indonesian Maritime
Bibliographic record
Abstract
Oral communication is essential for people’s workplace performance as well as for university students learning English. Speaking fluently is also crucial for maritime academy students prepared to work in industries abroad. Students need to believe in their ability to speak English. For this reason, sound communication skills are necessary for maritime students so they can compete with seafarer or sailor from other countries. The purpose of this research was to identify the level of oral communication apprehension of nautical students of Akademi Maritim Indonesia (Indonesian Maritime Academy) AIPI Makassar. The sample consisted of 10 first year students at nautical of AMI AIPI Makassar. Data was gathered through questionnaires adapted from Foreign Language Classroom Anxiety Class Scale (FLCAS). The findings indicated that students were generally apprehensive in EFL oral communication. The students showed the highest apprehension for public speaking. The level of nautical students’ apprehension based on observation and supported by the modified FLCAS were 20% in the low category, 60% in the moderate category, and 20% in the high category. Students in the high apprehension category showed more symptoms than students in the moderate and low apprehension categories.
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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 | 0.000 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".