创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (1): 20-23.

• 教学革新 • 上一篇    下一篇

大数据背景下日语基础视听说课程教学改革探索与实践

杨丹   

  1. 广州城市理工学院 外国语学院,广东广州 510800
  • 出版日期:2024-01-10 发布日期:2024-04-17
  • 作者简介:杨丹(1983—),女,辽宁沈阳人,硕士研究生,副教授,研究方向:日本语言文学、日本文化。
  • 基金资助:
    2022年度教育部产学合作协同育人项目“大数据背景下日语基础视听课程教学体系改革研究”(220601130020139); 2022年度广东省本科高校在线开放课程研究课题“基于OBE理念的在线开放课程建设研究——基础日语课程教学体系改革探索与实践”(2022ZXKC583)

Exploration and Practice of Teaching Reform in Japanese Basic Audiovisual and Oral Courses under the Background of Big Data

YANG Dan   

  1. School of Foreign Languages, Guangzhou City University of Technology, Guangzhou Guangdong, 510800, China
  • Online:2024-01-10 Published:2024-04-17

摘要: 数据化外语教学是信息时代外语教育教学改革的方向,建立数据化教学模式和管理模式,是高校外语教学改革的重要工作。该文对大数据背景下外语教育特征进行梳理,以“新国标”中教学信息化要求为指导,围绕日语专业日语基础视听说课程现状,对日语基础视听说课程的实施方法和实现路径进行系统构建,旨在为数据化教学发展提供启示与借鉴。

关键词: 日语基础视听说课程, 教学改革, 大数据, 教学模式, 实施方法, 实现路径

Abstract: Data-driven foreign language teaching is the direction of foreign language education reform in the information age. Establishing a data-driven teaching model and management model is an important task in the reform of foreign language teaching in universities. The article sorts out the characteristics of foreign language education in the context of big data, guided by the requirements of teaching informatization in the“new national standard”, and revolves around the current situation of Japanese basic audiovisual and oral courses for Japanese majors. It systematically constructs the implementation methods and paths of Japanese basic audiovisual and oral courses, aiming to provide inspiration and reference for the development of data-based teaching.

Key words: Basic Japanese audiovisual and oral courses, Teaching reform, Big data, Teaching mode, Implementation methods, Implementation path

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