English-medium education in Turkey a myth or an achievable goal? An evaluation of content-based second language instruction at the Middle East Technical University
Notice bibliographique
Résumé
This study is aimed at examining and discussing evidence for and against the effectiveness of content-based second language instruction at university level in Turkey. It deals with the following central questions: Is the integration of content and anguage teaching the best way to develop students' English language proficiency? Is it really working in Turkey? How does English-medium education affect students' content learning? The first three chapters of this study set out the problematics of the content-based second language instruction (CBSLI) with reference to Turkey. Chapter one is concerned with the theoretical underpinning of CBSLI. The focus of attention in Chapter two is on French immersion programmes in Canada because of their significant contribution to the spread of immersion programmes to various other countries. Studies of immersion programmes in the Philippines and Tanzania are also taken into consideration in so far as they help assess the transferability of Canadian experiments to other countries in very different socio-cultural and economic circumstances. Chapter three discusses the implementation of CBSLI in the specific context of Turkey. Special attention is paid to the choice of the language of instruction. Arguments for English-medium education and Turkish-medium education are examined. The last three chapters are concerned with factual evidence relating to the efficiency of CBSLI in Turkey. Chapter four presents the research design and methodology, working hypotheses and rationale for the study. Chapter five analyses the data obtained from students and teachers' questionnaires under the following three headings: 1)English language and study skill, 2) Academic performance 3) Attitudinal considerations. Chapter six focuses on CBSLI classroom interaction in METU and assesses the extent to which CBSLI principles are being implemented in real classroom situations: whether CBSLI classrooms provide opportunities for the kind of input, interaction and output in the second language which have been deemed essential to promote second language acquisition. The overall conclusion of the present study is that content-based second language instruction lacks theoretical and empirical support in the context of Turkey. Our findings show that the integration of content and language teaching under existing conditions does not provide the most favourable environment either for second language learning or content learning. There seems to be a case for the use of Turkish as the medium of instruction and for intensive tuition in English as a second language.
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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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».