心理学
压力(语言学)
2019年冠状病毒病(COVID-19)
焦虑
大流行
外语焦虑
英语作为外语
定性研究
外语
班级(哲学)
定性性质
数学教育
教育学
语言学
计算机科学
社会学
医学
病理
人工智能
哲学
传染病(医学专业)
机器学习
精神科
疾病
社会科学
标识
DOI:10.1080/02188791.2023.2165036
摘要
ABSTRACTABSTRACTThe present study investigated foreign language classroom anxiety (FLCA) and foreign language enjoyment (FLE) of 492 Chinese learners of English as a foreign language (EFL) in their online learning during the COVID-19 pandemic. Quantitative and qualitative data were collected. The quantitative data revealed that the participants reported higher levels of FLE than FLCA in online learning and that FLE was negatively correlated with FLCA. FLE was more strongly predicted by teacher-related variables (i.e., teachers’ friendliness, their familiarity with teaching platforms, their joking, English accent, and frequency of speaking English in class), while FLCA was mainly predicted by learner-internal variables (i.e., relative standing among peers and online interaction with the teacher). The qualitative data confirmed that Chinese EFL learners’ FLE was strongly linked to the teacher, while their FLCA to the learners themselves. Based on these findings, the study provided pedagogical implications for online EFL teaching and learning.KEYWORDS: foreign language classroom anxietyForeign language enjoymentChinese EFL learnersonline learningemergency remote teaching Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Beijing University of Posts and Telecommunications [500522431]. This research is also part of the project entitled Exploring AWE-Supported Writing Process Through an Activity Theory Perspective supported by the Humanities and Social Sciences Research Projects, Ministry of Education, China (Project Number: 21YJAZH010).Notes on contributorsRenqing YuanRenqing Yuan is a lecturer at Beijing University of Posts and Telecommunications, and a Phd student at Tsinghua University. His research interests include: learner emotions, foreign language teaching.
科研通智能强力驱动
Strongly Powered by AbleSci AI