Students’ Perspectives on ‘PeVe App’ to Learn English Phrasal Verbs

M. Wiannastiti, Teguh Prasandy, Y. Ying, Krystl Mo Liem, W. Andreani, E. Ernawati
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Abstract

Learning English Phrasal Verbs (PVs) is one of the biggest challenges for the English as a Foreign Language (EFL) learners in higher education in Indonesia that demands a learning method coping with the development of technology and teaching devices. PeVe app is a new platform designed to support EFL learners to learn English PVs for developing their writing skills. The research aimed to discover the EFL students’ perspectives on the development of first-level content of PeVe apps in learning English PVs and to get their feedback on its development. Extreme Programming was used for developing PeVe Apps and the last phase of testing was carried out by distributing an online questionnaire to 70 students in two classes at one university with 62 responses. A descriptive quantitative was used to analyze the data. The result shows that more than 90% agree that the apps for learning PVs are supportive and more than 80% agree that learning English using the apps is fun and most agree this app supports them in learning English PVs. From the feedback, several things need to be added to the landing page, material, exercises, and the quiz. Since this app is a pilot project, only one at the Beginner level is available. Therefore, it is needed to develop to the further levels with various pictures, summaries of tasks, and listening materials. Thus, it is suggested for further research to improve PeVe Apps.Keywords— Convolutional Neural Network (CNN), RUU Omnibuslaw, Sentiment Analysis, Twitter.
学生对“PeVe App”学习英语动词短语的看法
学习英语动词短语是印尼高等教育英语学习者面临的最大挑战之一,这需要一种与科技和教学设备发展相适应的学习方法。PeVe应用程序是一个新的平台,旨在支持英语学习者学习英语视频,以提高他们的写作技能。本研究旨在发现英语学生对PeVe应用程序在英语视频学习中的一级内容开发的看法,并获得他们对其开发的反馈。极限编程被用于开发PeVe应用程序,测试的最后阶段是通过向一所大学两个班的70名学生分发在线问卷进行的,其中有62份回答。采用描述性定量分析方法对数据进行分析。结果显示,超过90%的人认为视频学习应用程序是支持性的,超过80%的人认为使用这些应用程序学习英语很有趣,大多数人认为这款应用程序支持他们学习英语视频。根据反馈,需要在登陆页面、材料、练习和测试中添加一些东西。由于这个应用程序是一个试点项目,只有一个在初学者的水平是可用的。因此,需要通过各种图片、任务摘要和听力材料来进一步发展。因此,建议进一步研究改进PeVe应用程序。关键词:卷积神经网络(CNN), RUU Omnibuslaw,情感分析,Twitter。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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