Teacher's Culture Differences : Case studies from Brisbane, Changchun and Hong Kong
Bibliographic record
Abstract
The primary purpose of this exploratory study is to identify variations in the ways in which individual teachers in different educational contexts interpret their curriculum and plan their lessons and in particular to explore the possibility that cultural differences as identified by Hofstede (1991) may be a contributing factor to understanding how teachers understand their work. “Educational reform” has become a catchphrase in the Anglo-American world, including the United States, Canada, Australia, and England and Wales, as well as in the Confucian Heritage Areas such as Mainland China, Singapore, Hong Kong, and Taiwan. Across the world, the educational reform measures being implemented are surprisingly similar. This paper describes a study of how geography teachers in Queensland, Australia, Hong Kong, and Changchun, China, plan their lessons and curriculum. From classroom observations and interviews with the teachers involved, we confirmed marked differences in each location regarding their cultural traits of power distance, individualist and collectivist preference and uncertainty tolerance, and that these traits appear to be highly influential in their curriculum planning. Despite the small scale of this study, we contend that there are good reasons for caution before national education systems import policies and curriculum reform initiatives from other countries for unthinking adoption.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".