Evaluating Health-care-related Active Learning Class Lectures using Class Achievement and Text Mining of Free Descriptions

摘要

Active learning is defined as "a general term for professors and learning methods that incorporate participation in active learning of the students, unlike teachers' unilateral lecture style education." Universities that improve classes from the viewpoint of active learning are increasing in recent years. A class evaluation questionnaire has been established to improve the understanding and satisfaction of students' classes. In many cases, the Likert scale is used for the class evaluation questionnaire. There are also aspects for which statistical processing is easy to do. However, it is difficult to ascertain the students' specific opinions and ideas alone. Therefore, we attempted to evaluate health-care-related subjects from the two viewpoints of 'free description' and 'degree of accomplishment of class goal' for active learning classes aimed at students' subjective learning.