探索人工智能进步背景下 EFL 教师的情感体验和适应性专业知识:积极心理学视角

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-09-09 DOI:10.1016/j.system.2024.103463
Yanhong Liu , Pengyun Chang
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引用次数: 0

摘要

人工智能(AI)的快速发展正在重塑语言教育,引发了人们对英语作为外语(EFL)教师职业未来的担忧。虽然现有文献经常强调人工智能工具的有效性,但往往忽视了它们对教师相关专业知识发展和情感体验的影响。本纵向研究通过积极心理学的视角探索 EFL 教师的情感景观和适应性专业知识发展,弥补了这一空白。本研究采用主题分析法,通过对十位英语教师进行三轮半结构式访谈,并辅之以学生的课后反思和课堂观察。研究结果强调了积极情绪在 EFL 教师专业发展中的关键作用,揭示了教师在引导人工智能整合语言教育过程中积极情绪和消极情绪之间的动态、非线性互动。教师的社会关系和专业背景对这种情绪互动产生了重大影响。这项研究强调,有必要建立促进积极情绪和提高教师数字素养的机构支持系统。通过加深对人工智能整合教育背景下 EFL 教师的情感体验和专业成长的理解,本研究为设计有针对性的干预措施和课程改革提供了宝贵的见解,从而促进全球教育中人类与人工智能之间的有效合作。
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Exploring EFL teachers’ emotional experiences and adaptive expertise in the context of AI advancements: A positive psychology perspective

The rapid advancements in Artificial Intelligence (AI) are reshaping language education, raising concerns about the professional future of English as a Foreign Language (EFL) teachers. While existing literature often highlights the effectiveness of AI tools, it tends to overlook their impact on teachers' relevant expertise development and emotional experiences. This longitudinal study addresses this gap by exploring EFL teachers' emotional landscapes and adaptive expertise development through the lens of positive psychology. Employing thematic analysis, the study draws on data from three rounds of semi-structured interviews with ten EFL teachers, complemented by students' post-class reflections and classroom observations. The findings highlight the pivotal role of positive emotions in EFL teachers' professional development, revealing a dynamic, non-linear interaction between positive and negative emotions as teachers navigate AI-integrated language education. This emotional interplay is significantly influenced by teachers' social connections and professional backgrounds. The study underscores the need for institutional support systems that promote positive emotions and enhance teachers' digital literacy. By deepening our understanding of EFL teachers’ emotional experiences and professional growth within the AI-integrated educational context, this study offers valuable insights for designing targeted interventions and curriculum reforms that foster effective collaboration between human and AI intelligence in global education.

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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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