A Study on the Construction of College English Context Vocabulary Teaching Based on Hands-Off Data-Driven Learning in China


  •  Haojie Li    
  •  Tongde Zhang    

Abstract

Hands-off data-driven learning is a data-based, student-oriented learning model characterized by inquiry and discovery. English context vocabulary teaching is the key to English teaching in colleges and an important indicator to evaluate the quality and level of college English teaching, which is a language teaching paradigm focusing on the language environment. Combining the two approaches can give students a more realistic, practical, and meaningful language learning experience. This paper analyzes the vocabulary learning level of two non-English major undergraduate classes at Southwest University of Political Science and Law before and after the application of the context experiment. The positive effect of context vocabulary teaching in the control groups is verified by comparing and analyzing the influence of context teaching based on hands-off data-driven learning on their scores and learning results between the experimental and control groups. It shows that the combination of context in English vocabulary teaching with hands-off data-driven learning can help to improve students’ ability to understand, absorb, and apply English vocabulary.



This work is licensed under a Creative Commons Attribution 4.0 License.