人格因素与英语学习者的口语表现有何联系?心理网络分析

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Jeong-eun Kim, Yohan Hwang
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引用次数: 0

摘要

本研究采用心理网络分析法来探讨人格特质与第二语言(L2)口语表现之间错综复杂的关系。被试是 162 名韩国成人英语学习者,他们完成了 IPIP-NEO-60 人格特质问卷调查和一项有时间压力的口头叙述任务。口头叙述的评估包括两个方面的 L2 知识(语法和词汇)和两个方面的 L2 处理(发音和流利度)。分析确定了两个人格因素(神经质和外向性)和两个口语表现因素(语法和词汇)在网络模型中的核心作用。分析表明,神经质与词汇量之间的负向联系、自觉性与词汇量之间的正向联系,以及 L2 知识(词汇量)与 L2 处理(流利性)之间的潜在交互作用之间的联系尤为紧密。研究结果突出表明,有必要根据学习者的不同个性特征制定差异化教学策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How are personality factors connected to EFL learners’ oral performance? A psychological network analysis
This study employs psychological network analysis to explore the intricate relationships between personality traits and second language (L2) oral performance. The participants, 162 Korean adult learners of English, completed the IPIP-NEO-60 personality trait questionnaire and a time-pressured oral narrative task. The oral narratives are assessed for two aspects of L2 knowledge (grammar and vocabulary) and two aspects of L2 processing (pronunciation and fluency). The analysis identifies two personality factors (neuroticism and extraversion) and two oral performance factors (grammar and vocabulary) as playing central roles in the network model. It shows particularly robust associations in a negative link between neuroticism and vocabulary and a positive link between conscientiousness and vocabulary, as well as a potential interaction of L2 knowledge (vocabulary) and L2 processing (fluency). The findings highlight the need for differentiated instructional strategies based on learners’ diverse personality profiles.
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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