A Collaborative Online International Learning (COIL) Experience in Early Childhood Teacher Education
Bibliographic record
Abstract
This study explores the use of Collaborative Online International Learning (COIL) as a pedagogical method to enhance intercultural competence among Early Childhood Teacher Education (ECTE) students, with an emphasis on Indigenous perspectives in Norway and Canada. Using qualitative focus group interviews with Norwegian students engaged in a COIL project with Canadian peers, this research identifies key pedagogical benefits and logistical considerations of this approach. The findings indicate that COIL enhances critical intercultural skills, such as cross-cultural communication and collaboration. This study highlights the necessity of establishing clear guidelines and objectives from the beginning, alongside active teacher participation, to foster a supportive environment that builds student confidence and autonomy. Additionally, COIL has broadened students’ understanding of cultural perspectives, which is valuable for their application in early childhood education settings. Ultimately, this study positions COIL as a valuable method for promoting intercultural collaboration and embedding Indigenous perspectives. This approach serves as a form of internationalization at home, preparing students to integrate diverse cultural insights into their professional roles in Early Childhood Education and Care.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".