探索 EFL 学习者对 ChatGPT 文本修订的整合与感知:三阶段写作任务研究

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Lifang Bai;Yijia Wei
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引用次数: 0

摘要

ChatGPT 可以及时重新表述文本,并在保留原意的前提下提高文本内容和形式的质量。然而,人们对学习者如何应对这种重新表述却知之甚少。在这里,我们采用了一个三阶段的写作任务(写作-比较-改写)来研究在英语作为外语(EFL)的课堂环境中,学习者是如何注意、整合和感知 ChatGPT 的改写作为反馈的。我们收集了学习者在比较原文和改写时所作的书面记录,并根据语言相关的注意类型(词汇、话语和形式)和注意质量(处理深度:低、中、高)对其进行了分类。我们还分析了学习者改写中的改写实例以及他们对问卷的回答。结果表明1)改写引导学习者关注原写作中的不足,尤其是选词方面的不足,并促使他们在改写中融入 ChatGPT 生成的修改;2)融入改写的实例数量与比较阶段注意到的数量、类型和质量直接相关;3)学习者普遍赞赏 ChatGPT 在 EFL 写作中的教学价值,尤其是在修改阶段,尽管他们认为 ChatGPT 偶尔会误解他们的意图。本研究建议,ChatGPT 的改写应与同伴和教师的反馈相辅相成,以创造一个全面和个性化的学习环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring EFL Learners’ Integration and Perceptions of ChatGPT's Text Revisions: A Three-Stage Writing Task Study
ChatGPT can promptly reformulate a text and improve its quality in content and form while preserving the original meaning. Yet, little is known about how learners respond to such reformulations. Here, we employed a three-stage writing task (composing-comparison-rewriting) to investigate how learners notice, integrate, and perceive ChatGPT's reformulations as feedback in English as a foreign language (EFL) classroom context. We collected learners’ written notes made during the comparison of their original texts and the reformulations, categorizing them based on the language-related type of noticing (vocabulary, discourse, and form) and quality of noticing (depth of processing: low, intermediate, and high). We also analyzed the instances of reformulations integrated into learners’ rewriting and their answers to a questionnaire. The results showed that: 1) the reformulations directed learners’ attention to the gaps in their original writing, especially in word choice, and prompted them to integrate ChatGPT-generated changes in their rewriting; 2) the number of instances integrated into the rewriting was directly related to the quantity, type, and quality of noticing in the comparison stage; and 3) learners generally appreciated the pedagogical value of ChatGPT in EFL writing, particularly during the revision stage, although they believe occasionally ChatGPT might misinterpret their intentions. The study suggests that ChatGPT's reformulations should be complemented with peer and teacher feedback to create a comprehensive and personalized learning environment.
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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