An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM

Toru Sugihara, Soichiro Aihara, Sachio Hirokawa, Takashi Nara

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    抄録

    What sort of care should a university take for student-athletes? To answer the question and to consider the future educational strategy are one of big issues for many universities. The authors created a questionnaire which consists of 77 questions with multiple choice form. We collected the responses from 100 student-athletes and 141 other students. The present paper analyzed the characteristic features of student-athletes. We considered 312 kinds of combination of question items and the response choices as words and the questionnaire record of a student as a document written in those words. Then we applied the text mining method SVM (support vector machine) and feature selection. As the result, we confirmed that we can distinguish student-athletes from other students with 90% accuracy based on 16 characteristic features such as (a) they spend much time on athlete club and not on study, (b) they want to work for economically rich life, (c) they think that it is advantageous to job hunting or graduate school if they have good grades and (d) they have less interests on international perspective in campus life.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
    編集者Kiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ163-166
    ページ数4
    ISBN(電子版)9781538606216
    DOI
    出版ステータス出版済み - 11 15 2017
    イベント6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, 日本
    継続期間: 7 9 2017 → …

    出版物シリーズ

    名前Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

    その他

    その他6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
    Country日本
    CityHamamatsu, Shizuoka
    Period7/9/17 → …

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Information Systems
    • Information Systems and Management

    フィンガープリント 「An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル