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

Toru Sugihara, Soichiro Aihara, Sachio Hirokawa, Takashi Nara

研究成果: 著書/レポートタイプへの貢献会議での発言

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.

元の言語英語
ホスト出版物のタイトルProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ページ163-166
ページ数4
ISBN(電子版)9781538606216
DOI
出版物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 → …

その他

その他6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
日本
Hamamatsu, Shizuoka
期間7/9/17 → …

Fingerprint

Support vector machines
Students
Support vector machine
Questionnaire
Feature extraction
Text mining
Clubs
Feature selection
Hunting
Education

All Science Journal Classification (ASJC) codes

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

これを引用

Sugihara, T., Aihara, S., Hirokawa, S., & Nara, T. (2017). An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM. : Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 (pp. 163-166). [8113232] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2017.215

An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM. / Sugihara, Toru; Aihara, Soichiro; Hirokawa, Sachio; Nara, Takashi.

Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 163-166 8113232.

研究成果: 著書/レポートタイプへの貢献会議での発言

Sugihara, T, Aihara, S, Hirokawa, S & Nara, T 2017, An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM. : Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017., 8113232, Institute of Electrical and Electronics Engineers Inc., pp. 163-166, 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, Hamamatsu, Shizuoka, 日本, 7/9/17. https://doi.org/10.1109/IIAI-AAI.2017.215
Sugihara T, Aihara S, Hirokawa S, Nara T. An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM. : Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 163-166. 8113232 https://doi.org/10.1109/IIAI-AAI.2017.215
Sugihara, Toru ; Aihara, Soichiro ; Hirokawa, Sachio ; Nara, Takashi. / An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM. Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 163-166
@inproceedings{e0e316e21b59430fbe50de41e548829b,
title = "An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM",
abstract = "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.",
author = "Toru Sugihara and Soichiro Aihara and Sachio Hirokawa and Takashi Nara",
year = "2017",
month = "11",
day = "15",
doi = "10.1109/IIAI-AAI.2017.215",
language = "English",
pages = "163--166",
booktitle = "Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - An Analysis of Characteristics of Student-Athletes from Questionnaire by SVM

AU - Sugihara, Toru

AU - Aihara, Soichiro

AU - Hirokawa, Sachio

AU - Nara, Takashi

PY - 2017/11/15

Y1 - 2017/11/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85040580930&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85040580930&partnerID=8YFLogxK

U2 - 10.1109/IIAI-AAI.2017.215

DO - 10.1109/IIAI-AAI.2017.215

M3 - Conference contribution

SP - 163

EP - 166

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -