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All Journal English Language Teaching Educational Journal
Thaksanan, Piriya
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Arts Education Languange, Linguistic, Communication & Media

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Investigation into students’ performance in foreign language business writing and their attitudes toward it Thaksanan, Piriya
English Language Teaching Educational Journal Vol. 7 No. 1 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/eltej.v7i1.10412

Abstract

Anxiety can affect learners' performance in several ways. It can be a helpful motivational tool to assist students in learning a language. At the same time, anxiety can become a serious factor in hindering language acquisition. This study examines the relationship between students' writing performance and anxiety levels across three different proficiency groups of students. The participants were fifty EFL students enrolled in a Business English Writing course, and the target writing genre was inquiries and acknowledgments of inquiry letters. The two main instruments used to collect data were students' writing samples and closed-ended questionnaires. The data were analyzed utilizing descriptive statistics, one-way ANOVA, and Pearson's coefficient correlation. This study showed a significant difference in writing anxiety between the high and the low-proficiency groups. In contrast, it was found that there were no statistically significant differences in anxiety between the high and the mid-proficiency groups. In addition, the study’s outcomes indicated that the students' level of anxiety varied across the three groups of students. It was found that the students with a high level of anxiety performed less well than those with lower writing anxiety. The findings provide insights into teaching and learning writing, particularly into ways to decrease learners' anxiety and improve their learning outcomes.
OpenAI ChatGPT vs Google Gemini: A study of AI chatbots’ writing quality evaluation and plagiarism checking Kotmungkun, Siraprapa; Chompurach, Wichuta; Thaksanan, Piriya
English Language Teaching Educational Journal Vol. 7 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/eltej.v7i2.11572

Abstract

This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from each chatbot, and evaluated for plagiarism using two free detection tools—SmallSEOTools and Check-Plagiarism—as well as one paid tool, Turnitin. The findings revealed that both ChatGPT and Gemini performed well in terms of word concreteness but demonstrated weaknesses in narrativity. ChatGPT showed stronger performance in referential and deep cohesion, while Gemini excelled in narrativity, syntactic simplicity and word concreteness. However, a significant concern was the degree of plagiarism detected in texts from both AI tools, with ChatGPT's essays exhibiting a higher likelihood of plagiarism compared to Gemini’s. These findings highlight the potential limitations and risks associated with using AI-generated writing.
Co-Authors Chompurach, Wichuta Kotmungkun, Siraprapa