Enhancing the Intercultural Competence Development of Prospective Music Teacher Education: A Case Study in Indonesia
Bibliographic record
Abstract
Music teacher education institutions in Indonesia are challenged to address their students’ intercultural needs due to increasing interaction at the global level. Therefore, this research seeks to discover suitable formulation for teacher education institutions in Indonesia in implementing music teacher education and training to equip them with intercultural competence. This research employs case study design, in which the data were obtained using interview conducted in July and August 2020. This aims at obtaining concepts based on the need analysis of intercultural competence through processes, actions and interactions from the participants’ perspective. The participants were students of Music Teacher Education Department of Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia. The findings show that 1) the sensitivity to cultural diversity of music teacher candidates needs to be enhanced to expand the awareness of their own and other cultures; and 2) enhancing intercultural competence requires both theoretical and practical courses related to Indonesian identity and global culture. The findings are significant considering that every music teacher should have the same perception in teaching, which is in accordance with the diversity of Indonesian and world cultures.
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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 | 0.002 | 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 | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".