The interrelationships between Chinese learners’ trait emotional intelligence and teachers’ emotional support in learners’ engagement DOI Creative Commons
Yao Yan, Xusheng Zhang, Tong Lei

et al.

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Jan. 18, 2024

Abstract Background One noteworthy concern within the realm of education is level engagement demonstrated by students. Among factor that can have a crucial role in this domain teacher support, especially emotional support which has an impact on several aspects learners’ education. Furthermore, various studies investigated relationship between Emotional Intelligence (EI) and engagement. Methods Accordingly, study possible trait EI teachers how these constructs may work to associate For objective, total 309 Chinese students across different colleges universities 5 provinces Beijing, Shanghai, Jiangsu, Hubei, Shaanxi were enrolled. They 126 females 183 males, with ages ranging from 18 30 years old (Mean = 24.6). Results The results research through running Structural Equation Modeling (SEM) teachers’ both students’ learning final measurement model shows about 73% changes be associated their support. Conclusions This underscores importance relation learning. Both factors shown play significant associating student Moreover, could potentially wider impacts members academic teams.

Language: Английский

Unpacking Chinese EFL Students’ Academic Engagement and Psychological Well-Being: The Roles of Language Teachers’ Affective Scaffolding DOI
Ziwen Pan, Yongliang Wang, Ali Derakhshan

et al.

Journal of Psycholinguistic Research, Journal Year: 2023, Volume and Issue: 52(5), P. 1799 - 1819

Published: May 30, 2023

Language: Английский

Citations

146
Using AI-driven chatbots to foster Chinese EFL students’ academic engagement: An intervention study DOI
Yongliang Wang, Lina Xue

Computers in Human Behavior, Journal Year: 2024, Volume and Issue: 159, P. 108353 - 108353

Published: June 20, 2024

Language: Английский

Citations

86
A structural equation modeling approach in examining EFL students’ foreign language enjoyment, trait emotional intelligence, and classroom climate DOI
Miaomiao Wang, Yongliang Wang

Learning and Motivation, Journal Year: 2024, Volume and Issue: 86, P. 101981 - 101981

Published: Feb. 23, 2024

Language: Английский

Citations

56
Do positive emotions prompt students to be more active? Unraveling the role of hope, pride, and enjoyment in predicting Chinese and Iranian EFL students’ academic engagement DOI
Ali Derakhshan, Hongbiao Yin

Journal of Multilingual and Multicultural Development, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: March 18, 2024

Drawing on the control-value theory, this cross-cultural research inspected association between positive activating emotions, namely pride, hope, and enjoyment, academic engagement among Chinese Iranian EFL students. This study also looked into role of these emotions in predicting students' engagement. Using a maximum variation sampling technique, 346 353 students were chosen from various colleges universities. Afterward, an online survey was sent to participants via email common messaging apps. Following that, structural equation modelling confirmatory factor analysis conducted through AMOS software analyse participants' answers. The results obtained CFA SEM indicated that is closely related their feelings enjoyment. demonstrated enjoyment can meaningfully favourably predict Interestingly, no significant difference discovered measurement models. These outcomes add existing body literature interplay behaviours.

Language: Английский

Citations

56
How burnout, resilience, and engagement interplay among EFL learners? A mixed-methods investigation in the Chinese senior high school context DOI Open Access
Hanwei Wu, Yunsong Wang, Yongliang Wang

et al.

Porta Linguarum Revista Interuniversitaria de Didáctica de las Lenguas Extranjeras, Journal Year: 2024, Volume and Issue: IX, P. 193 - 213

Published: Jan. 25, 2024

English-as-a-foreign-language (EFL) learning is essential for Chinese senior high school students, but burnout can impair their engagement and performance. Resilience, however, enhance shield them from burnout. This mixed-methods study aimed to investigate the interplay between burnout, resilience, among 413 EFL learners. Using AMOS 24, quantitative analyses with structural equation modeling (SEM) revealed reciprocity these three constructs. Specifically, was negatively associated both resilience engagement, explaining 28.6% 33.3% of shared variance respectively. Besides, were positively correlated, sharing 70.6% variance. Qualitative semi-structured interviews 15 analyzed by MAXQDA 2022, supported this specifying role each component also discusses theoretical practical implications findings suggests directions future research.

Language: Английский

Citations

54
Teacher Confirmation and Caring as Predictors of Chinese and Iranian EFL Students’ Willingness to Attend EFL Classes DOI Open Access
Yongliang Wang, Ali Derakhshan

Porta Linguarum Revista Interuniversitaria de Didáctica de las Lenguas Extranjeras, Journal Year: 2023, Volume and Issue: 39, P. 165 - 192

Published: Jan. 31, 2023

This mixed-methods cross-cultural study examined the role of instructor confirmation and care in EFL students’ willingness to attend classes (WTAC). For quantitative phase, 1006 605 university students were chosen respectively from Chinese Iranian universities, for qualitative sub-groups 43 34 participants selected. Three close-ended scales semi-structured interviews used collect data. Results confirmatory factor analysis approved structure validity three scales. correlation Structural Equation Modeling (SEM) analyses indicated positive associative/predictive perceived teacher caring WTAC. The independent samples t-tests results showed significant differences perceptions caring, confirmation, WTAC, with significantly outperforming Iranians. Frequency counts data revealed that both believed facilitative Further content through MAXQDA presented four themes teacher-, student-, context, task-related factors, among which teacher-related factors theme its interpersonal sub-theme deemed very influential by predicting

Language: Английский

Citations

52
Navigating the emotional landscape: Insights into resilience, engagement, and burnout among Chinese High School English as a Foreign Language Learners DOI
Yunsong Wang, Yihang Xin, Leiming Chen

et al.

Learning and Motivation, Journal Year: 2024, Volume and Issue: 86, P. 101978 - 101978

Published: Feb. 26, 2024

Language: Английский

Citations

35
Investigating the Effects of Chinese University Students’ Online Engagement on Their EFL Learning Outcomes DOI Creative Commons
Peijian Paul Sun, Lawrence Jun Zhang

The Asia-Pacific Education Researcher, Journal Year: 2024, Volume and Issue: 33(4), P. 747 - 757

Published: Jan. 11, 2024

Abstract Engagement plays an important role in students’ success learning. While learner engagement has been widely examined, the degree to which learners engage online learning and relationship between outcomes, particularly domain of second/foreign (L2) language learning, still remain under-explored. To bridge gap, this study examined college L2 English learners’ profiles their outcomes. A total 85 first-year students participated study. The results showed that is multidimensional, including behaviroral, cognitive, affective, social facets. Additionally, actual behavioral (e.g., task time completion rate) self-perceived behavioral, affective engagement) are significantly correlated. Nonetheless, among two levels measures, only score behavioural a positive predictor concludes with practical implications for teaching.

Language: Английский

Citations

18
From Technology‐Challenged Teachers to Empowered Digitalized Citizens: Exploring the Profiles and Antecedents of Teacher AI Literacy in the Chinese EFL Context DOI Open Access
Ziwen Pan, Yongliang Wang

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1), P. 1 - 16

Published: Jan. 27, 2025

ABSTRACT Artificial Intelligence (AI) literacy has come to the spotlight, empowering individuals adeptly navigate modern digitalised world. However, studies on teacher AI in English as a Foreign Language (EFL) context remain limited. This study aims identify intraindividual differences and examine its associations with age years of teaching experience among 782 teachers. Given absence reliable instrument measure literacy, we first constructed validated scale encompassing five sub‐scales: Knowledge , Use Assessment Design Ethics . Subsequently, latent profile analysis (LPA) was conducted using Mplus 7.4, results revealing four distinct profiles: Poor (C1: 12.1%), Moderate (C2: 45.5%), Good (C3: 28.4%), Excellent (C4: 14.1%). Multinomial logistic regression analyses indicated significant between both experience. Additionally, 32 respondents participated semi‐structured interviews. The qualitative data analysed MAXQDA 2022 triangulated quantitative offered deeper insights into teachers’ perceptions their literacy. provides theoretical practical implications for understanding Chinese EFL context.

Language: Английский

Citations

10
Iranian EFL Students’ L2 Engagement: The Impact of Teacher Support and Teacher-student Rapport DOI Open Access
Farzaneh Shakki

Language Related Research, Journal Year: 2022, Volume and Issue: 13(3), P. 175 - 198

Published: Aug. 1, 2022

Given that L2 engagement serves a vital role in students' academic success, studying the predictors of this construct seems critical.Notwithstanding, factors influencing one's an context have remained unclear.To respond to gap, current research aimed unravel effects teacher-student rapport and teacher support on Iranian EFL engagement.In doing so, 216 students majoring Applied Linguistics, English Translation, or Literature were invited cooperate investigation.To obtain required data, three pre-designed scales virtually distributed among respondents.Then, through correlation tests, association between support, rapport, student was measured.Following that, teacherstudent assessed using Structural Equation Modeling (SEM).The correlational analysis uncovered strong, favorable constructs.The SEM also indicated can strongly influence classes.The implications results are further discussed.

Language: Английский

Citations

67