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作 者:戴雨晴 罗卫华[1] DAI Yu-qing;LUO Wei-hua(School of Foreign Languages of Dalian Maritime University,Dalian Liaoning116026,China)
机构地区:[1]大连海事大学外国语学院,辽宁大连116026
出 处:《齐齐哈尔大学学报(哲学社会科学版)》2020年第6期134-138,共5页Journal of Qiqihar University(Philosophy & Social Science Edition)
摘 要:商务英语是一种专门用途英语,其词汇由于专业性强,灵活性高等特征一直是教学的重点和难点。研究以自主学习理论为指导,基于语料库的技术和方法,构建数据驱动商务英语词汇自主学习的"3A"模式。在该模式下,学习者始终是课前、课中、课后各不同阶段的主体并承担着不同方式的自主学习,对大量真实产出的语言素材进行检索分析,讨论归纳词汇的意义及使用规律,并利用软件进行相关知识的巩固练习,从而有效促进商务英语专业词汇的习得。Business English is a branch of ESP.Because of the strongly specialty and highly flexibility,its vocabulary has always been the focus and difficulty of teaching.Guided by the theory of autonomous learning and based on the techniques of corpus,this paper proposes a"3A"model of data-driven Business English vocabulary autonomous learning.In"3A"model,learners are always the main characters before,during and after class and undertake different autonomous learning activities.They firstly search and analyze a large number of naturally-occurring language materials,then discuss and summarize the meaning and usage rules,and finally use software to review and practice,so as to effectively promote the acquisition of business English vocabulary.
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