International Journal of Education

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.

Bloom’s Taxonomy of Cognitive Objectives (BTCO); Blended teaching model for the Course of Advanced English; Teaching and learning activity design; Teaching effect