MétaCan
Menu
Retour à la cohorte
Enregistrement W2615159824 · doi:10.1111/1467-9922.53223

Why Are You Learning a Second Language? Motivational Orientations and Self‐Determination Theory

2003· article· en· W2615159824 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueLanguage Learning · 2003
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueEFL/ESL Teaching and Learning
Établissements canadiensUniversity of Saskatchewan
Organismes subventionnairesnon disponible
Mots-clésPsychologySelf-determination theoryContext (archaeology)Competence (human resources)Intrinsic motivationMathematics educationPerspective (graphical)PedagogySocial psychologyAutonomy

Résumé

récupéré en direct d'OpenAlex

The data for this study were collected in my first year of graduate school for a term paper for a course I was taking from Luc Pelletier. When I began graduate school, Luc also started at the University of Ottawa as a new faculty member, and he taught a course in motivation. I had worked with Richard Clément for a couple of years already as an honors student and as a research assistant and had conducted research on orientations and motivation under his supervision as part of my honors thesis project. Luc was very interested in self‐determination theory (SDT) and had worked with Bob Vallerand on an instrument to assess academic motivation from this perspective. Luc and I decided to carry out a study on language learning orientations using SDT and enlisted Richard's and Bob's involvement in the project. As a bilingual institution where all students were required to demonstrate competence in their second language (L2), whether French or English, the University of Ottawa was an ideal setting for this type of research. The project was a first examination of SDT in the language learning context, and to the best of my knowledge it was the only, or at least one of the very few, empirical investigations of intrinsic and extrinsic motivation in the area. It involved the development of a valid and reliable instrument to assess the different subtypes of intrinsic and extrinsic motivation. It also explored the link between these motivational subtypes and various orientations to language learning that had been identified by Clément and Kruidenier (1983) , including the travel, friendship, knowledge, and instrumental orientations. The results showed that the instrumental orientation and the SDT external regulation orientation were strongly correlated, and that the travel, friendship, and knowledge orientations were quite highly intercorrelated with identified regulation and intrinsic motivation. Moreover, the instrumental and external regulation orientation scales correlated in similar ways with the hypothesized antecedents of perceived autonomy and competence and the hypothesized consequences of intention to pursue L2 study and anxiety. In addition, the travel, friendship, and knowledge orientations were correlated with the hypothesized antecedents and consequences in a manner similar to intrinsic motivation and identified regulation. These results suggested that Clément and Kruidenier's 4 orientations may be tapping a similar construct as the SDT orientations. My only regret with this study is that I did not include a scale to measure the integrative orientation ( Gardner, 1985 ) to determine its relation with the SDT subtypes. This issue would have to wait until a later study to be addressed. The results of this initial investigation encouraged me to pursue research integrating SDT with other theoretical frameworks of language learning motivation. I believe that the SDT framework has several advantages over some other formulations of learner orientations. SDT offers a parsimonious, internally consistent framework for systematically describing many different orientations in a comprehensive manner. It also offers considerable explanatory power for understanding why certain orientations are better predictors of relevant language learning variables (e.g., effort, persistence, attitudes) than others. Also, by invoking the psychological mechanisms of perceived autonomy, competence, and relatedness, it can account for why certain orientations are evident in some learners and not in others. Moreover, the framework is empirically testable and indeed has stood up well under empirical scrutiny in our studies. Its clear predictions may also be particularly valuable in applying the theory in language teaching and program development. [The present article first appeared in Language Learning, 50 (1), 2000, 57–85]

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,525
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

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

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 Opus0,010
Tête enseignante GPT0,238
Écart entre enseignants0,228 · 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