Using Original Methods in Teaching English Language to Foreign Students (Chinese) in Indian Classroom
Notice bibliographique
Résumé
The article gives information on English language teaching schemes in Indian classrooms for foreign students. The teacher monitors as facilitator and instructor. The trainees were trained in the four macro skills, LSRW. I taught some topics in three skills, namely, writing, listening and reading (just three, not speaking skills) to Chinese students in VIT University. The other skill speaking was trained by other teachers among the four. Students were trained to listen to English words and passages, to read the comprehension passages and answer the questions, and to coach basic grammar and revising it. More over, beginners were also guided to learn technical words related to their respective disciplines (major subjects) other than English words. For example, Chinese students posed a query to the faculty to explain on technical words and terms of their main subjects in English, for instance, B.Sc Computer Science (under graduate programme) students wished to learn about the word data. Since, the English Oxford Dictionary meaning is ‘facts or statistics used for reference or analysis’, but in the field of Computer Science, the word means “information processed by a computer”. So, there arouse a need to help them in distinguishing the different meanings of the word. In addition to, many students were not familiar with English. Thus through the above said way of facilitating, they acquired a good knowledge by varied types of expressions to master their particular subjects. It was a moment to state that they had come from China to India to obtain the nuances of English language. They undertook and were gradually expertised at specific courses in English medium of instruction, perhaps to get degree. Teacher’s a few lesson plans (how the practices are conducted in listening, reading and writing skills) as well as some parts in allotted syllabus (listening to songs, passages, writing a paragraph and essay, picture-story writing and write about yourself, reading the passage and writing) were discussed in the current paper. Role of the teacher and student were explained in detail. Therefore, the abstract would portray how the beginners were trained, taught, convinced, persuaded and managed by a tutor to reach the goal of English language teaching to Chinese students.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».