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Record W2574538494 · doi:10.5539/elt.v10n2p136

Social Intelligence and Communication Competence: Predictors of Students’ Intercultural Sensitivity

2017· article· en· W2574538494 on OpenAlexvenueno aff
Takwa Bosuwon

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyIntercultural communicationSocial psychologyDescriptive statisticsInternal consistencyCompetence (human resources)Scale (ratio)Developmental psychologyPsychometricsStatisticsPedagogy

Abstract

fetched live from OpenAlex

This study investigated the level of intercultural sensitivity of foreign international undergraduates and its possible predictors. Sample participants included 269 foreign international undergraduates of both government and private universities in Thailand. The research instrument was the three-page survey constructed questionnaire based on the combination of three self-evaluation scales: Chen and Starosta’s (2000) Intercultural Sensitivity Scale (ISS), McCroskey and McCroskey’s (1988) Self-Perceived Communication Competence Scale (SPCC), and Silvera et al’s (2001) Tromso Social Intelligence Scale (TSIS). From the pilot test, the instrument’s internal consistency was .789. Data collected were analyzed by using Descriptive Statistics (SPSS for Windows), Pearson product-moment Correlations, Independent-sample t-test, F-test (ANOVA), and Multiple Regression Analysis. The findings showed that the average level of intercultural sensitivity of the participants was at a high level (X = 4.3) with nationality and intercultural experience as significant factors. It was also found that both self-perceived communication competence and social intelligence were statistically significant predictors of intercultural sensitivity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.372
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2017
Admission routes1
Has abstractyes

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