A case report on utilizing text mining for developing disaster medical education

Abstract

Pharmaceutical colleges struggle with inadequate instruction in disaster medicine, making it difficult to determine how much students understand of the educational content. Therefore, this study collected and qualitatively analyzed data with text mining to visually grasp student responses. With text mining, the students’ personal descriptions were converted into text data, creating keyword lists and concept maps to visualize the degree of comprehension and knowledge. By analyzing the relevant keywords from the concept maps, it was possible to gain an overview of the students’ understanding and develop a tool to facilitate disaster medicine in pharmaceutical education. The visualization of qualitative data using text mining was a useful method for examining the comprehension levels of pharmacy students.