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Enregistrement W4386912009 · doi:10.5539/elt.v16n10p21

On-site and Online Classroom Activities and Thai EFL Learners’ Language Anxiety before and during the COVID-19 Pandemic

2023· article· en· W4386912009 sur OpenAlexvenueno aff
Sirinan Nuypukiaw, Wichuta Chompurach

Notice bibliographique

RevueEnglish Language Teaching · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueTechnology-Enhanced Education Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologyAnxietyCoronavirus disease 2019 (COVID-19)PandemicMedical educationSession (web analytics)Data collectionReading (process)Academic yearMathematics educationPedagogyMedicineSociology

Résumé

récupéré en direct d'OpenAlex

The present study has been conducted in order to study the classroom activities and the levels of learning anxiety of the third-year English majors both who show high academic performance (HAP) and low academic performance (LAP), before and during the COVID-19 pandemic. The researchers have compared the different levels of the students’ anxiety and the effects of classroom activities on the students during both periods. The participants of the study were 114 third-year English majors from two public universities in Thailand: 1) Southern University (SU) and 2) Northeastern University (NEU) (the university names used are pseudonyms). The number of HAP students was 57, and the remaining 57 students showed LAP. To collect the data, the researchers adopted a questionnaire and an in-deph interview as data collection tools. The questionnaire was administered to 114 students, and four of whom voluntarily participated in the interview session - two of whom held HAP while the other two had LAP. The results showed that before the pandemic, both HAP and LAP students similarly experienced the activities in the aspect of participation mode activity most often. The least often experienced activities for those with HAP were speaking activities, but ones for the LAP students were reading activities. During the pandemic, the HAP students most often experienced the participation mode activities while those with LAP experienced all types of classroom activities at a moderate level. However, the two groups were similar in that they experienced speaking activities the least. In terms of the level of English learning anxiety, both groups similarly had overall learning anxiety at a high level both before and during the pandemic. However, the data revealed that their levels of English learning anxiety before the outbreak were statistically significantly different, but the two groups had the similar levels of learning anxiety during the pandemic. In terms of the effects of classroom activities on the English majors, the data showed that the activities used before the pandemic including speaking activities (i.e., oral presentations and reading pronunciation) and taking exams (scheduled exams and pop-up quizzes) affected both groups similarly. This was because they were nervous and excited about being in front of the class while doing speaking tasks and they were worried about their marks when taking exams. However, two activities including 1) being unexpectedly called on and 2) group work had different effects on the two groups. That means only LAP students experienced anxiety when being randomly called on while group work only increased the learning anxiety of those with HAP. In addition, the activities causing both groups to have learning anxiety during the pandemic were doing group work, being called on randomly, online listening, and doing activities with evaluations. The data revealed the two causes of the anxiety that were 1) the problems about online communication and being unacquainted with other members when doing group work and 2) their unfamiliarity with the foreign teachers’ accent and pronunciation. In addition, the results revealed online presentations can reduce both groups’ learning anxiety while online examinations could reduce only LAP English majors’ learning anxiety.

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 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)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
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 enseignants0,088
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,018
Tête enseignante GPT0,334
Écart entre enseignants0,316 · 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 tête enseignante, pas un consensus.

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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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