Integrating the Intercultural Communicative Competence (ICC) in a Foreign Language Program: Faculty Considerations upon Leaving the Haven of Native Speakership
Bibliographic record
Abstract
This action research study presents the perspectives of two language faculty who integrated the principles of the Intercultural Communicative Competence (ICC) model in their teaching. The professors shared their understanding of intercultural communicative competence through a learning log. These reflections were mainly about the challenged notion of native speakership, particularly in foreign language teaching contexts. The faculty also developed a teaching sequence that integrated the ICC criteria. The study offers some of the faculty considerations on their integration of the ICC model together with their students’ perspectives. The research results show that students could get involved in language learning beyond the customary linguistic aspects of language teaching, and they could embark themselves upon the understanding of the intercultural aspects that permeate any classroom negotiation where two languages happen to meet and interact through the lived experiences and the identity of their speakers.
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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 | 0.024 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.022 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".