人工智能(AI)如 QuillBot AI 能帮助学生提高写作能力吗?利用人工智能辅助学习写作文

Riza Laras Amyatun, Adhan Kholis
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摘要

目前,人工智能(AI)在英语学习中的影响力与日俱增,这是不争的事实。人工智能可以帮助学生发展英语句子。本研究旨在利用QuillBot人工智能帮助十一年级学生提高撰写论述性文章的能力。本研究采用 Kemmis、McTaggart 和 Nixon 范式进行课堂行动研究(CAR),分两个周期进行,每个周期包括三次会议。每个周期包括计划、行动、观察和反思。本研究的参与者是来自 XI IPA 2A 的学生,共有 20 名学生。采用的数据收集技术是测试。在进行治疗之前,学生们以写作测试的形式进行了一次前测。然后,研究人员在几次会议上使用 Quillbot AI 向学生传授知识。研究人员使用 SPSS 25 版进行了配对样本 t 检验,以分析获得的数据。研究结果表明,在写作课上使用 QuillBot 人工智能大大提高了学生的写作能力。学生的写作测试成绩也证明了这一点。在测试前,学生的平均得分为 53.55 分。使用 QuillBot 人工智能后,学生的后测平均成绩为 78.90 分。此外,差异的显著性还体现在获得的 sig.(2-tailed) 值为 0.000,即小于 0.05。根据统计结果,Ho 被否定,Ha 被认可,表明 QuillBot 人工智能的使用影响了学生创作说明文的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Artificial Intelligence (AI) like QuillBot AI Assist Students’ Writing Skills? Assisting Learning to Write Texts using AI
At present, it is undeniable that the influence of Artificial Intelligence (AI) in learning English is increasing. AI helps students develop English sentences. This study aims to assist eleventh-grade students’ skills in creating hortatory exposition texts using QuillBot AI. It was Classroom Action Research (CAR) using the Kemmis, McTaggart, and Nixon paradigm conducted in two cycles, each consisting of three meetings. Each cycle included planning, acting, observing, and reflecting. The participants of this study were students from XI IPA 2A, consisting of 20 students. The data collection technique employed was a test. Before giving treatment, the students did a pre-test in the form of a writing test. Then, the researcher taught the students using Quillbot AI in several meetings. A paired sample t-test was administered using the SPSS version 25 to analyze the obtained data. The findings revealed that using QuillBot AI in the writing class considerably improved students’ writing skills. It was demonstrated by the results of the students’ writing test scores. In the pre-test, the students’ mean score was 53.55. Then, after utilizing QuillBot AI, the students’ mean post-test score was 78.90. In addition, the significance of the difference could also be seen in the acquisition of a sig. (2-tailed) value of 0.000, which meant it was smaller than 0.05. Based on the statistics presented, Ho was refused, and Ha was approved, indicating that QuillBot AI’s usage impacted the students’ ability to create hortatory exposition texts.
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