Narrative Inquiry on Changes of Chinese Pre-service Teachers Promoted by a SSHRC Partnership Grant Project "Reciprocal Learning in Teacher Education and School Education between Canada and China" : A Case Study
Bibliographic record
Abstract
This study explored changes in personal and professional life of 10 Chinese pre-service teachers participating in an exchange teacher education program between University of Windsor, Canada and Southwest University, China, which is a part of the SSHRC Grant Project, Reciprocal Learning in Teacher Education and School Education between Canada and China(RLTESECC). Narrative Inquiry was adopted as methodology to identify what and why the negative and positive changes were brought out to their teaching practice, beliefs, knowledge, competence, and international understanding by the cross-cultural and reciprocal learning experience. Qualitative data from researchers' and pre-service teachers' reflections, field notes, surveys, discussions, classroom and workshop observations revealed that the cross-cultural reciprocal learning experience did change pre-service teachers' beliefs and values of teaching and learning in most productive way, enhanced pre-service teachers' cultural awearness, and helped pre-service teachers develop teaching methods and practice. And negative influences on pre-service teachers due to cultural misconception had also been found. Finally, the study attempted to discuss the significance and effect of cross-cultural reciprocal teacher education programs on pre-service teachers' professional development, develop common knowledge base for international initial pre-service teacher education, and make suggestions for teachers' croos-ccultural teaching and learning programs.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".