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Enregistrement W1604204581

Voices from Chinese students: professors' use of English affects academic listening (1)

2004· article· en· W1604204581 sur OpenAlexaboutno aff
Jinyan Huang

Notice bibliographique

RevueCollege student journal · 2004
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueEFL/ESL Teaching and Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésActive listeningPsychologyPronunciationMathematics educationSlangCollege EnglishInformational listeningClass (philosophy)PedagogyLinguisticsListening comprehension
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Research in English for Academic Purposes has begun to show that non-native speakers of English have much difficulty in English academic listening at American universities. Chinese students, who are from a very different educational system and cultural environment, experience special challenges in English academic listening. This paper focuses on how American professors' use of English in class affects Chinese students' understanding of academic lectures. Seventy-eight Chinese students who enrolled in 2000 winter semester at an American university participated in this study. The results show that 1) rapidness of professors' English speech; 2) professors' lack of clear pronunciation; 3) professors' use of long and complex sentences; 4) professors' use of colloquial and slang expressions; 5) professors' lack of clear definition of terms and concepts; and 6) professors' use of discourse markers affect Chinese students' English academic listening at an American university. It offers important suggestions for American professors as how to make their lectures more accessible to Chinese students. ********** Academic Listening: Definition and Importance Academic listening involves listening and speaking tasks in university classes. According to Flowerdew (1995), it has its own characteristics and places special demands upon listeners. To be a successful academic listener, a student needs relevant background knowledge, ability to distinguish between important and unimportant information, and appropriate skills like note-taking, etc. Richards (1983) also suggests many micro-skills are required for listening to academic lectures: the ability to identify purpose and scope of a lecture, ability to identify topic of a and follow topic development, and ability to identify role of discourse markers in signaling structure of a lecture (p.229). Academic listening plays a very important role in a student's academic success. It plays an even more important role than academic reading or academic aptitude (Conaway, 1982). In a study by Powers (1985), American and Canadian professors of engineering, psychology, chemistry, computer science, English and business rated listening and speaking highest when asked to tell relative importance of listening, speaking, reading and writing for international students' success in their academic departments. The findings point to idea that academic listening plays a crucially important role in one's academic success. Research in English for Academic Purposes (EAP) has begun to show that non-native speakers of English have much difficulty understanding academic lectures at American universities. According to a study by Anderson-Mejias (1986), it is in listening rather than reading and speaking that non-native learners experience a great deal of difficulty. Ferris and Tagg (1996) investigated university professors' views on ESL students' difficulties with listening tasks. Instructors at four different institutions and in a variety of academic disciplines responded to questions and provided comments about their ESL students' listening skills. All respondents felt that their ESL students had great difficulty with comprehension, responding to questions, and class participation. Among ESL learners in American universities, Chinese students are largest group. Data from Open Doors (2000) shows that two world regions sending largest proportions of students to US are Asia and Latin America and students from China are largest single group. Chinese students, who are from a very different educational system and cultural environment, experience special challenges in understanding academic lectures in English. The question of which factors most affect their academic listening skills merits closer examination. This study is an evaluation of Chinese students' challenges in understanding English academic lectures at an American university. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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.

Tête enseignante Opus0,037
Tête enseignante GPT0,324
Écart entre enseignants0,287 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations42
Publié2004
Routes d'admission1
Résumé présentoui

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