Research and Application of University English Writing Teaching Reform Based on Data Mining

Pub Date : 2024-07-17 DOI:10.4018/jcit.347667
Huasu Li, Jingjing Li
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Abstract

Based on big data mining and learning analysis technology, this paper systematically summarizes the theoretical basis of network-based college students' English writing skills training mode and discusses the reform and application of college English writing teaching. By mining network data, establishing corresponding writing training database and writing corpus, and at the same time strengthening writing teaching methods with the help of existing network corpus. Students learn through reading, imitation and innovation in the course, and receive psychological and motivation training. The research shows how data mining ability can test the data production ability of front-line authors, and test the ability of front-line teachers to cultivate students' autonomous learning and self-adaptation. It is emphasized that this teaching mode updates the knowledge structure of front-line teachers and cultivates new teachers who combine knowledge with technology. By providing innovative methods to optimize the teaching process, it is expected to effectively improve students' writing ability.
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基于数据挖掘的大学英语写作教学改革研究与应用
本文基于大数据挖掘和学习分析技术,系统总结了基于网络的大学生英语写作技能训练模式的理论基础,探讨了大学英语写作教学的改革与应用。通过挖掘网络数据,建立相应的写作训练数据库和写作语料库,同时借助已有的网络语料库强化写作教学方法。学生在课程中通过阅读、模仿和创新进行学习,并接受心理和动机训练。研究表明,数据挖掘能力可以检验一线作者的数据制作能力,检验一线教师培养学生自主学习、自我适应的能力。强调这种教学模式能更新一线教师的知识结构,培养知识与技术相结合的新型教师。通过提供优化教学过程的创新方法,有望有效提高学生的写作能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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