Communication apprehension among business students in Thailand
Bibliographic record
Abstract
Communication skills play a vital role in people’s lives. Thus, students who have excellent skills in language and communication are more competitive in the job market compared with the others who have average or poor skills in language and communication. Due to the increasing demand for oral communication skill, which is used widely in universities’ and colleges’ curriculum in Thailand, fluency in oral communication in English is needed among graduate students, particularly for the business students who conduct their degrees in an international program. Oral communication skills in graduate students have played an important role in course requirements and activities in class for university students. It is the research objective to identify and understand the different levels of CA among students in order for the business academe to identify the causes of communication difficulties experienced by students and gain information about these communication problems. This study utilized a quantitative research method to gather data for this research. The participants in this study are first-year and second-year students from an international business program in graduate level at a public university in Bangkok, Thailand. There are 156 students enrolled in this program; 79 first-year graduate students (n = 79, 29.1 % male = 23, 70.9 % female = 56) and 77 second-year graduate students (n = 77, 39 % male = 30, 61 % female = 47). For the first-year students, the majority of students are Thais (98 %, n = 77), one Canadian (1 %, n = 1), and one Taiwanese (1 %, n = 1). For the second-year students, the majority of students are Thais (99%, n = 76) and one Chinese (1%, n = 1). The response rate for first year students was 86% (n = 55) and for second year students was 85% (n = 53). As for results from the quantitative data collection, it has been shown that the business students had moderate CA while the overall CA score of second-year students was higher than CA of first-year students. First-year and second year students were in moderate range of communication apprehension and also in three perspectives of communication which are group discussion, meetings, and interpersonal conversation, while CA in public speaking among those students was higher than other perspectives which indicates small degree of apprehension. In a comparison of communicating in Thai language and English language, students in second-year had higher overall CA score when communicating in English language than their score when communicating in Thai language.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".