The Impact of Short-Term Cross-Cultural Experience on the Intercultural Competence of Participating Students: A Case Study of Australian High School Students
Bibliographic record
Abstract
Over recent years, globalisation occasioned a dramatic rise in cross-cultural interactions until this was disrupted by the COVID-19 pandemic. The ability to competently engage in a multicultural world is often considered the “literacy of the future”. Global interconnectedness has brought studies into intercultural competence to centre stage. This has increased the demand for cross-cultural education experiences that facilitate such learning. However, there is a dearth of empirical research into the issues and effects surrounding short-term cross-cultural educational experiences for adolescents. This mixed-methods study extends previous research by looking specifically into what impact short-term cross-cultural experiences may have on the formation of intercultural competence (IC) and emotional intelligence (EI) of Australian high school students. This study used two instruments for measuring IC and EI in a pre- and post-test quasi-experimental design (n = 14), the General Ethnocentrism (GENE) Scale and Toronto Empathy Questionnaire (TEQ). Moreover, it conducted in-depth post-experience qualitative interviews (n = 7) that broadly followed a phenomenological paradigm of inquiry. The findings suggest that fully embodied cross-cultural immersive experiences can effectively support the formation of IC and EI in high school students and may thereby play a contributing role in redressing ignorance, xenophobia, prejudice, and discrimination. A greater understanding of the linkages between immersive cross-cultural experiences and intercultural competence offers prospects for policymakers, educators, pastoral carers, and other relevant stakeholders who might employ such experiential learning to foster more interculturally and interracially harmonious human relations.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| 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".