AI and Recognition Technologies to Facilitate English as Foreign Language Writing for Supporting Personalization and Contextualization in Authentic Contexts

IF 4 2区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Educational Computing Research Pub Date : 2023-01-19 DOI:10.1177/07356331221137253

Wu-Yuin Hwang, R. Nurtantyana, Siska Wati Dewi Purba, U. Hariyanti, Y. Indrihapsari, Herman Dwi Surjono

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引用次数: 4

Abstract

English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students’ original writings in helping to improve their writing abilities. Therefore, we developed Smart RoamLingo app to help writing meaningful content in authentic contexts with sample sentences based on texts generated by recognition technologies named as AI-Sample Sentences (AI-SS) and writing qualities with revision suggestions based on personal original writings named as AI-Writing Feedback (AI-WF). 104 undergraduate students were assigned into an experimental group (EG) and two control groups. EG significantly outperformed the other groups in the post-test. In EG, AI-SS can help the contextualization to produce comprehensive content actively while AI-WF can help the personalization to improve the writing quality through several revisions. Hence, the cohesion and consistency of their writing can be enhanced. Further, the total number of revisions in practices and the assignment score can significantly predict the post-test. Moreover, EG students revealed that Smart RoamLingo was useful for EFL writing. Therefore, it is strongly suggested to use Smart RoamLingo with AI-SS and AI-WF for EFL writing in authentic contexts.

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人工智能和识别技术促进英语作为外语写作，支持真实语境中的个性化和语境化

作为外语的英语写作对学生来说是一个挑战，因为除了语法反馈之外，缺乏相关的词汇资源来激励他们进行有意义的写作。此外，根据学生的原创作品设计个性化的反馈对于提高学生的写作能力至关重要。因此，我们开发了Smart RoamLingo应用程序，以AI-Sample sentence (AI-SS)为基础，基于识别技术生成的文本，用样句写出真实语境下有意义的内容;以AI-Writing Feedback (AI-WF)为基础，根据个人原创文章提出修改建议，写作品质。将104名大学生分为实验组和对照组。EG组在后测中的表现明显优于其他组。在EG中，AI-SS可以帮助情境化主动生成全面的内容，而AI-WF可以帮助个性化通过多次修改来提高写作质量。因此，他们的写作可以增强凝聚力和一致性。此外，在实践中修改的总次数和作业分数可以显著地预测后测试。此外，EG学生表示Smart RoamLingo对英语写作很有用。因此，强烈建议在真实语境中使用Smart RoamLingo与AI-SS和AI-WF进行英语写作。

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来源期刊

Journal of Educational Computing Research EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

11.90

自引率

6.20%

发文量

期刊介绍： The goal of this Journal is to provide an international scholarly publication forum for peer-reviewed interdisciplinary research into the applications, effects, and implications of computer-based education. The Journal features articles useful for practitioners and theorists alike. The terms "education" and "computing" are viewed broadly. “Education” refers to the use of computer-based technologies at all levels of the formal education system, business and industry, home-schooling, lifelong learning, and unintentional learning environments. “Computing” refers to all forms of computer applications and innovations - both hardware and software. For example, this could range from mobile and ubiquitous computing to immersive 3D simulations and games to computing-enhanced virtual learning environments.