Enhancing the Cross-Cultural Competence of Prospective Language Teachers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the twenty-first century, education does not merely focus on information exchange; additionally, it does so on various abilities and living in harmony. To materialize such acquisition among students, cross-cultural competence is an essential vehicle in a rapidly globalizing world. This calls for integrating comprehensive cross-cultural education as an independent subject into teacher training programs alongside the applied practices that go with it. Against this backdrop, the current study aims to determine the cross-cultural competency capabilities of Turkish language teacher candidates studying at one of the major universities in Turkey. In this article, initially cultural dimensions, scope of culture, and aspects of cross-cultural competency are addressed on a theoretical basis. In addition, learning materials are developed by the candidates, based on the instructions provided by the researcher, and analyzed according to their content of cross-cultural competency. The paper also discusses the cultural background of the candidates and their cross-cultural competency capabilities. The findings show that the participants have major difficulty presenting sufficient information or content in developing their cross-cultural competency. In the end, there are recommendations for enhancing the cross-cultural competency capabilities, while shedding light on the inadequate focus devoted to improving these skills within the training programs.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it