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Enregistrement W50050332

Willingness to communicate by Arab EFL learners: conceptualization and realization

2013· article· en· W50050332 sur OpenAlexaboutno aff
Said Nasser Ali Al-amrani

Notice bibliographique

RevueQueensland's institutional digital repository (The University of Queensland) · 2013
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueEFL/ESL Teaching and Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWillingness to communicatePsychologyConceptualizationConstruct (python library)Context (archaeology)Foreign languageLinguisticsSocial psychologyPedagogyComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study examined the role of willingness to communicate (WTC) in EFL performance in an Arab context. Originally proposed by MacIntyre et al. (1998), WTC is based on Gardner’s (1985) influential socio-educational model of motivation in language learning. WTC is a multi-faceted construct that integrates psychological, linguistic, and communicative variables to describe, explain, and predict students’ communicative behavior in a second language. It has been identified by Dornyei and colleagues (Dornyei, Csizer, & Nemeth, 2006) as an important component of Second Language Acquisition (SLA) theory, and calls have been made to incorporate the notion in second language pedagogy (Kang, 2005). Much of the original WTC work was carried out in Canada, involving European languages and second language instructional settings. More recent studies have broadened the scope by examining the WTC construct in more culturally diverse EFL settings such as China (Peng, 2007b; Peng & Woodrow, 2010; Wen & Clement, 2003), Japan (Yashima, 2002; Yashima, Zenuk-Nishide, & Shimizu, 2004); Korea (Jung, 2011; Kim, 2004); Turkey (Cetinkaya, 2005), and Iran (Ghonsooly, Khajavy, & Asadpour, 2012). A key element of WTC identified in previous studies is the affective state of the learner, including motivation and self-perceived communication confidence in a second language. These elements have been widely recognized as major impediments to face-to-face communication in English as a foreign language (Ay, 2010; Gan, Humphreys, & Hamp-Lyons, 2004). However, there are also likely to be some important differences for Omani students, particularly related to situational and cultural differences. This study is, to the knowledge of the researcher, the first to provide an Arab conceptualization of willingness to communicate (WTC) and to examine how it manifests in Arab EFL learners in Oman. The first phase of the study examined learners’ perceptions toward their WTC in English through surveys that assessed variables related to the L2 WTC construct in general, and possible factors (including cultural factors) that influence Arab students’ WTC in English. Participants were First year (116) and Fourth year (88) English major students at a private Omani university. Structural equation modeling (SEM) analysis was used to examine the survey results. Of interest were relationships between WTC, self-perceived communication competence (SPCC), communication anxiety (CA), frequency of communication (FC), motivation, attitudes toward learning situation, integrativeness, and instrumental motivation. The second phase of the study examined how learners’ attitudes toward their WTC might change through involvement with synchronous and asynchronous computer-mediated communication (CMC) based activities that were specifically designed to address WTC for Arab EFL students. The little research available in this area suggests CMC can facilitate learners’ WTC (Freiermuth & Jarrell, 2006; Kissau, McCullough, & Pyke, 2010; Lloyd, 2012; Reinders & Wattana, 2010). Research in this second phase of the study built on this work. The second phase used a mixed methods design combining quantitative and qualitative data. Twenty-eight undergraduate students completed questionnaire; subsequently, 13 volunteer students were interviewed to extend and elaborate on the quantitative data. Findings of the first phase showed Omani students had fairly low WTC and SPCC and low CA in English. Their WTC, SPCC, and CA varied based on the type of interlocutor (friend, acquaintance, stranger) and the type of contexts (dyad, small group, large group/ in meeting, public). The students had moderate motivation, positive attitudes toward English learning situations, and positive attitudes toward the L1 community. They also believed that EFL learning was important for getting a good job and for their future careers. Overall, the data revealed that academic year did not have a significant effect on variables related to the L2 WTC construct. The SEM model proposed in the study indicated that WTC had statistically significant direct paths from SPCC and CA, while motivation had a significant direct path to SPCC. CA had a direct data-driven path to frequency of communication. The path from WTC to FC was significant. Motivation had significant direct paths from integrativeness, attitude toward learning situation, and instrumental motivation. Overall, the proposed model in this study supported MacIntyre et al.’s (1998) model and Gardner’s (2001) socio-educational model. Quantitative findings of the second phase indicated that overall communication environments (online and face-to-face) affected L2 WTC variables. Qualitative data suggested that most students tended to have less WTC in face-to-face environments than online environments for several reasons, including fear of making mistakes, losing face, and embarrassment.

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)0,002
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: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,005
Communication savante0,0050,003
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,196
Écart entre enseignants0,180 · 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'étudeThéorique ou conceptuel
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

Citations3
Publié2013
Routes d'admission1
Résumé présentoui

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