Incorporating Digital Corpus Analysis Technology into English for Academic Purposes (EAP) Lesson Design for the Sri Lankan Tertiary Context: A Self-experimentation by a ‘Novice’

Q3 Engineering Advances in Technology Innovation Pub Date : 2021-12-31 DOI:10.31357/ait.v1i3.5381
Zareena D. Hussain
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Abstract

This paper reports on an observational case study conducted to investigate the possibilities available to language teachers, non-expert, or novice in corpus analysis, in integrating corpus analysis technology to design language learning activities. Despite the availability of corpus analysis technology and large amounts of studies in corpus analysis of texts, studies on corpus-based language teaching and learning, development of language teaching-learning material incorporating corpus analysis technology and techniques by teachers who are non-experts in the field of corpus analysis for classroom teaching has remained an exception. This paper records the personal experience of the researcher as a language practitioner using corpus analysis technology in designing teaching learning material to achieve the objectives of a language course for undergraduates of low English proficiency (LEP) studying in an English medium instruction (EMI) context. Although this exercise posed challenges for the language teacher who is a ‘non-expert’ to the field, the researcher documents its positive and promising outcomes as proof to support more extensive ‘non-expert’ teacher-driven, student-participatory corpus based English language learning methodologies.
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将数字语料库分析技术融入学术英语(EAP)斯里兰卡高等教育课程设计:“新手”的自我实验
本文报告了一项观察性案例研究,旨在调查语言教师、非专业人士或语料库分析新手在整合语料库分析技术来设计语言学习活动方面的可能性。尽管有了语料库分析技术,对文本的语料库分析进行了大量的研究,基于语料库的语言教学和学习的研究,由非语料库分析领域的教师开发包含语料库分析技术和技巧的语言教学材料用于课堂教学仍然是一个例外。本文记录了作为一名语言实践者的研究者使用语料库分析技术设计教学材料的个人经验,以实现在英语媒介教学(EMI)环境下学习的低英语水平(LEP)本科生语言课程的目标。尽管这个练习对语言教师来说是一个“非专家”领域的挑战,但研究人员记录了它积极和有希望的结果,作为支持更广泛的“非专家”教师驱动的、学生参与的基于语料库的英语学习方法的证据。
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来源期刊
Advances in Technology Innovation
Advances in Technology Innovation Energy-Energy Engineering and Power Technology
CiteScore
1.90
自引率
0.00%
发文量
18
审稿时长
12 weeks
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