Design and practice of blended teaching activities for the course of advanced English under the background of big data
大数据背景下高级英语课程混合式教学活动设计与实践研究

摘要

本研究聚焦于大数据背景下高级英语课程的混合式教学活动设计与实践。通过整合大数据技术与翻转课堂教学，本研究旨在探索提升高级英语课程教学质量和学生学习效果的新路径。笔者以布鲁姆认知目标分类理论为基础，结合大数据技术分析的学生学习行为特点，以《现代大学英语》精读教材为例，探索适合高级英语课程的混合式教学模式，并设计适合学生进行线上自主学习任务与线下深度互动的活动，实现高级英语课程的教学改革与创新。实践表明，学生的学习兴趣与主动性显著增强，语言综合运用能力及跨文化交际能力有所提高。同时，教师也通过培训提升了信息化教学能力，促进了专业成长。本研究为大数据技术在高级英语教学中的应用提供了实证依据与参考方向。

Abstract

This study focuses on the design and practice of blended teaching activities for the Course of Advanced English (CAE) in the context of big data. By integrating big data technology and flipped classroom teaching, this study aims to explore a new way to improve the teaching quality of CAE and the learning effect of students. Based on Bloom’s Taxonomy of Cognitive Objectives (BTCO), combined with the characteristics of students’ learning behaviors analyzed by big data technology, the author takes the textbook, Contemporary College English, as an example to explore the blended teaching mode suitable for CAE, and designs activities suitable for students to conduct online self-learning tasks and in-depth interaction offline, so as to realize the teaching reform and innovation of CAE. The practice shows that the students’ learning interest and initiative have been significantly enhanced, and their comprehensive language application ability and cross-cultural communication ability have been improved. At the same time, teachers also improve their information-based teaching ability through training, and promote professional growth. This study provides an empirical basis and reference direction for the application of big data technology in advanced English teaching.