@article{oai:ryotokuji-u.repo.nii.ac.jp:00000543,
 author = {菅沼, 徳夫 and Suganuma, Norio},
 issue = {17},
 journal = {了德寺大学研究紀要, The Bullentin of Ryotokuji University},
 month = {},
 note = {本研究の目的は，第1報を受けて新たな2校の中学校1年生のテキストデータを用いて，喫煙防止教育授業後に回答した自由記述をテキストマイニングによって分析し，印象に残った授業内容や授業に対する評価などを数量化されたデータとして可視化する．頻出語の分析，共起ネットワーク分析，クラスター分析を行い，授業改善の検討などを試みることである．Ｃ中学校，Ｄ中学校２校の中学校１年生330名のテキストデータを分析対象とした．単語頻度解析では，Ｃ中学校，Ｄ中学校ともに類似した単語の出現頻度や異なる頻出頻度がみられた．講義中使用した単語では「病気」「買う」「体」「周り」「お金」が出現した．授業に対する評価の単語では「知る」「改めて」「びっくり」「体験」などが出現した．両校の可視化されたデータの比較では第１報では見られなかった差異が出現した．また第１報ではできなかった階層クラスター分析を行った．この結果から考察をする．今後は，他の単元の保健授業での感想データを集め，中学生の既存知識や授業で印象に残る内容，残りにくい内容を検討し，授業改善に役立てようと考える．, The purpose of this study is to use text data from two new junior high school first-year students to analyze the free-form answers given after smoking prevention education classes by text mining, and to quantify the impressions of class content and class evaluations. It is to try to examine the improvement of lessons by visualizing as data, analyzing frequent words, co-occurrence network analysis, cluster analysis, etc. Text data of 330 first-year junior high school students from two junior high schools, C and D, were analyzed. In the word frequency analysis, both C junior high school and D junior high school showed similar frequency of occurrence of words and different frequency of occurrence. Among the words used during the lecture, "disease", "buy", "body", "surroundings" and "money" appeared. Words used to evaluate the class included "know," "again," "surprise," and "experience." In the cluster analysis, 5 clusters of C junior high schools and 6 clusters of D junior high schools appeared, and the characteristics of quantitative data appeared. This time, we conducted cluster analysis, which could not be analyzed in the first report, and added considerations based on quantitative data and the original text. In the future, we will collect feedback data from health classes in other units, consider the existing knowledge of junior high school students and the content that remains in the class and the content that is difficult to remember, and use it to improve classes.},
 pages = {122--134},
 title = {喫煙防止授業後の感想文のテキストマイニングによる分析　第2報 ‐頻出語，共起ネットワーク，クラスター分析と原文から考える‐},
 year = {2023},
 yomi = {スガヌマ, ノリオ}
}