Improving speaking performance through the synchronous online flipped learning approach (SOFLA) combined with AI language learning platforms

Abstract

To improve vocational students' English speaking performance in the workplace, this study developed a task-oriented ESP course combined with synchronous online flipped learning approach (SOFLA), zuvio interactive response system and MyET. Synchronous online instruction was conducted six times in one semester. In this study, students needed to watch videos to respond to some discussion questions before the class, interact with the teacher and peers with zuvio during the class, and self-study speaking skills after the class. Students were required to practice playing different roles based on different workplace situations and upload the video files of the group oral tasks to get the teacher's feedback. All oral tasks were recorded and uploaded to zuvio for peer review. The class invited specialists to share the current situation of the workplace to deepen students' professional knowledge of English in the workplace. A pre-test and a post-test were conducted in the first and last week of the course to evaluate the effectiveness of students' workplace speaking performance. Satisfaction questionnaires were distributed at the end of the course and students were interviewed to understand their perceptions of the course. The results of this study revealed that students improved their English fluency and accuracy significantly, which can be used by English teachers as a reference when designing synchronous online flipped learning courses in the large classes.

Keywords

Synchronous online flipped learning approach (SOFLA), interactive response system, MyET, speaking performance, task-based