Evaluation Method of Medical Students' Public English Learning Engagement Based on Machine Learning

Abstract

As one of the important groups in higher education, it is very important for medical students to pay attention to their learning path, learning state and learning effect in Public English curriculum. Based on the theory of learning engagement, this study chooses medical students' Public English learning engagement as the research object, and construct the learning engagement evaluation index system based on machine learning. This study selects 131 students majoring in clinical medicine and medical imaging of 2020 as the research objects, and conducts mixed Public English teaching practice for medical students and conducts relevant research on learning engagement on this basis. The results show that the selected medical students' behavioral engagement, cognitive engagement and emotional engagement in Public English learning are at the upper middle level as a whole. Teachers and schools should pay attention to these students' engagement in the three dimensions, especially in emotional engagement, and pay special attention to students' learning emotional experience.