Exploring Qualities that Prevent EFL Teachers from Redundancy

IF 0.4 Q4 EDUCATION & EDUCATIONAL RESEARCH
I. D. G. R. Dwiyana Putra, Sayit Abdul Karim, Iswandany Kaslan
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Abstract

The practice of English language teaching has dramatically changed with the existence of Internet-based learning platforms. The educational technology provides EFL students with a variety of language learning materials that can be accessed at any time and anywhere. These phenomena might threaten the teacher's existence. Thus, this study aims to figure out whether or not EFL teachers’ roles can be replaced by technology and to explore what qualities they should possess and maintain to prevent them from redundancy due to the domination of mobile-based language learning applications. A mix-method design was utilized to obtain the quantitative data through an online survey and qualitative data through an open-ended question. 199 EFL learners participated in the online survey, which consisted of a yes/no question on whether teachers could be replaced by mobile apps and an open-ended question to record the reasons. The findings showed that 132 students (66.3%) thought that teachers could not be replaced by mobile technology; meanwhile, around one-third of the respondents, 67 students (33.7%) had the opposing thought. The students still require human interaction, a sense of emotion, and delivery over the mobile tech features that could provide availability, flexibility, and practicality. It is highly recommended that English teachers maintain their humane qualities while keep adapting to technology to save themselves from redundancy.
探究防止外语教师冗余的素质
随着网络学习平台的存在,英语教学实践发生了巨大的变化。教育技术为EFL学生提供了各种语言学习材料,这些材料可以在任何时间、任何地方访问。这些现象可能威胁到教师的生存。因此,本研究旨在弄清楚EFL教师的角色是否可以被技术所取代,并探索他们应该拥有和保持什么样的素质,以防止他们因基于移动的语言学习应用程序的主导而被冗余。采用混合方法设计,通过在线调查获得定量数据,通过开放式问题获得定性数据。199名英语学习者参加了这项在线调查,其中包括一个关于教师是否可以被手机应用程序取代的是/否问题,以及一个记录原因的开放式问题。调查结果显示,132名学生(66.3%)认为移动技术无法取代教师;与此同时,约三分之一的受访者,67名学生(33.7%)有相反的想法。学生们仍然需要人与人之间的互动、情感和对移动技术功能的交付,这些功能可以提供可用性、灵活性和实用性。强烈建议英语教师在保持人文素质的同时,不断适应技术,避免裁员。
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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来源期刊
REGISTER Journal
REGISTER Journal Multiple-
自引率
4.80%
发文量
2
审稿时长
28 weeks
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