Cross Cultural Comparison of Rural Education Practice in China, Taiwan, and the United States.
Notice bibliographique
Résumé
The purpose of this research is to compare the rural education practices of China, Taiwan, Canada and the United States. International comparisons of mathematics achievement find that students in Asian countries outperform those from the USA. Excluded from these studies, however, are students from rural areas in China. This study compares the math abilities of 272 selectively chosen 5 grade students from rural, central China, 361 students from rural, northern Taiwan and 95 students from rural, central Pennsylvania. The test instrument was the same as used in previous China vs. USA comparisons and focused on four subtopics: computation, number concepts, geometry and problem solving. The results showed that rural Chinese and Taiwanese students outperformed similar American students in the area of mathematics achievement. The rural Chinese and Taiwanese students were also found to be more focused on school and academics and less on social aspects of school life. Their parents held higher expectations for them to do well in school. However, these cultural differences were not able to explain away the overall math achievement gap among the Chinese, Taiwanese and American students. It is recommended that further study be conducted to explore possible factors that contribute to different math achievement among the countries by interviewing students, teachers, and the parents. A. Purpose of the Research The purpose of this research is to compare the rural education practices of China, Taiwan, Canada and the United States. Although many cross cultural studies comparing student achievement exist, none of them seem to focus on rural education. Thus, there is a lack of understanding of how education systems deal with children who come from farming, and often low-education family backgrounds. Some studies have shown that students from the United States do not perform as well in math and science as compared to students from around the world. Especially notable is how Japanese and Singaporean students outperform US students (Beaton et al. 1996a 1996b; Schmidt et al). Chinese students also display high levels of achievement. However the principal studies showing Chinese versus US performance do not include students who live in rural parts of China. Thus, this research project focuses on comparing rural education practices and outcomes in Asian and the western countries. This study first, attempts to evaluate which students perform better. Then it seeks to uncover the practices within the family and/or school that lead to superior performance.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».