テキストマイニングによる遠隔での大学体育授業の教育効果の分析 ―フィットネス教育の感想レポートを用いた検討-

Autor: KAMEOKA, Maki, FUJISE, Takehiko
Jazyk: japonština
Rok vydání: 2021
Předmět:
Zdroj: 新潟国際情報大学経営情報学部紀要. 4:14-28
ISSN: 2434-2939
Popis: Due to the COVID-19 pandemic, general classes have been migrated to distance learning courses in universities. At Niigata University of International and Information Studies, physical education was conducted as a distance learning class. However, the learning effects that students can obtain in the class is not known yet. In this study, we investigated the learning effects of distance learning (fitness education) in physical education. The subjects were 81 students (67 males and 14 females), and they performed six physical fitness tests (Sit-ups, Push-ups, Flying splits, CS-30test, Standing on one leg with eyes closed, 2-step test) in class. They also submitted an impression reports after the class. We first organized the words submitted as an impression report by text mining. Based on the terms related to fitness education (muscle, strength, strength training, etc.) and the impressions of the students, it was considered that they were able to acquire knowledge and understand how to practice exercise in class. Then, we performed co-occurrence network analysis to clarify words that have close relation to one another. As a result, words were classified into 8 groups. Each of these eight groups corresponded to the basic principles of physical education. Therefore, distance class in universities was thought to have multiple learning effects. Based on that, distance learning of physical education in university would bring multiple learning effects to students. Furthermore, it was confirmed that the educational effect differs depending on the gender and physical fitness level with the correspondence analysis. Even if it is a distance lesson, university classes have an educational effect on knowledge, exercise, and training methods that could lead to the lifelong health and physical fitness of the students.
Databáze: OpenAIRE