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-

書誌事項

タイトル別名
  • Analysis of Educational Effects of Remote University Physical Education Classes by Text Mining: Research Using the Impression Report of Fitness Training Classes

抄録

Due to the COVID-19 pandemic, general classes have been migrated to distancelearning courses in universities. At Niigata University of International and InformationStudies, physical education was conducted as a distance learning class. However, thelearning effects that students can obtain in the class is not known yet. In this study, weinvestigated 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 physicalfitness 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 firstorganized the words submitted as an impression report by text mining. Based on the termsrelated to fitness education (muscle, strength, strength training, etc.) and the impressions ofthe students, it was considered that they were able to acquire knowledge and understandhow to practice exercise in class. Then, we performed co-occurrence network analysis toclarify words that have close relation to one another. As a result, words were classified into8 groups. Each of these eight groups corresponded to the basic principles of physicaleducation. Therefore, distance class in universities was thought to have multiple learningeffects. Based on that, distance learning of physical education in university would bringmultiple learning effects to students. Furthermore, it was confirmed that the educationaleffect differs depending on the gender and physical fitness level with the correspondenceanalysis. Even if it is a distance lesson, university classes have an educational effect onknowledge, exercise, and training methods that could lead to the lifelong health and physicalfitness of the students.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1570854177648296576
  • NII論文ID
    120007001702
  • ISSN
    24342939
  • Web Site
    http://id.nii.ac.jp/1608/00003276/
  • 本文言語コード
    ja
  • データソース種別
    • CiNii Articles

問題の指摘

ページトップへ