人工智能集成口语教学在提高口语技能和社交情感能力以及减少动机丧失和害羞方面的有效性的见解

IF 2.8 3区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Wenwen Shi, Goodarz Shakibaei
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引用次数: 0

摘要

尽管交际能力在语言习得中的重要性得到了公认,但许多英语作为外语(EFL)学习者一直在努力克服情感障碍,如口语焦虑、害羞和缺乏动力,以及不发达的社交情感能力(SEC),这些挑战是传统口语教学方法经常难以全面解决的。因此,本研究旨在探讨人工智能(AI)整合的口语教学对英语学习者的口语障碍、说话动机丧失、害羞和口语技能发展的影响,从而通过评估一种新的技术干预来弥补这一关键空白。为此,采用准实验设计,将参与者分为实验组(EG)和对照组(CG),实验组接受人工智能集成口语教学,对照组通过蓝色按钮平台进行传统口语教学;干预前和干预后的数据收集使用有效的SEC、动机丧失、害羞和说话发展问卷,辅以EG的态度问卷。单向方差分析的结果显示了人工智能集成方法的统计显着和积极的结果,与CG相比,EG中的学习者在他们的SEC和整体口语技能方面表现出了实质性的改善,同时在说话和害羞方面表现出了显著的减少,EG参与者对人工智能干预的主要积极态度证实了这一发现。这些研究结果对英语教学具有重要意义,表明人工智能整合口语教学提供了一种更有效的策略,可以同时提高学习者的口语水平和培养关键的社交情感技能,从而为整合人工智能工具为英语学生克服情感障碍和提高交际能力创造更多支持性和有效的途径提供实证支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights Into the Effectiveness of Artificial Intelligence-Integrated Speaking Instruction in Enhancing Speaking Skills and Social–Emotional Competence as Well as Reducing Demotivation and Shyness

Despite the recognised importance of communicative competence in language acquisition, many English as a Foreign Language (EFL) learners persistently grapple with affective barriers such as speaking anxiety, shyness, and demotivation, alongside underdeveloped social–emotional competence (SEC), challenges that traditional speaking instruction methods have often struggled to comprehensively address. Consequently, this study aimed to investigate the influence of Artificial Intelligence (AI)-integrated speaking instruction on EFL learners' SEC, demotivation to speak, shyness, and speaking skill development, thereby addressing a crucial gap by evaluating a novel technological intervention. To achieve this, a quasi-experimental design was employed, allocating participants into an experimental group (EG) receiving AI-integrated speaking instruction and a control group (CG) engaging in traditional speaking instruction via the Big Blue Button platform; pre- and post-intervention data were collected using validated questionnaires for SEC, demotivation, shyness, and speaking development, supplemented by an attitude questionnaire for the EG. The results from a one-way MANOVA revealed statistically significant and positive outcomes for the AI-integrated approach, with learners in the EG demonstrating substantial improvements in their SEC and overall speaking skills, alongside a significant reduction in demotivation to speak and shyness when compared to the CG, a finding corroborated by the EG participants' predominantly positive attitudes towards the AI intervention. These findings carry important implications for EFL pedagogy, suggesting that AI-integrated speaking instruction presents a more efficacious strategy for concurrently enhancing learners' speaking proficiency and fostering crucial social–emotional skills, thus providing empirical support for integrating AI tools to create more supportive and effective pathways for EFL students to overcome affective hurdles and improve their communicative abilities.

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来源期刊
European Journal of Education
European Journal of Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.50
自引率
0.00%
发文量
47
期刊介绍: The prime aims of the European Journal of Education are: - To examine, compare and assess education policies, trends, reforms and programmes of European countries in an international perspective - To disseminate policy debates and research results to a wide audience of academics, researchers, practitioners and students of education sciences - To contribute to the policy debate at the national and European level by providing European administrators and policy-makers in international organisations, national and local governments with comparative and up-to-date material centred on specific themes of common interest.
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