Journal of Physical Exercise and Sports Science
Online ISSN : 2435-9912
Print ISSN : 1342-1026
Original Investigations
Subjective Evaluation of Dance Class by Sport Science Major Students: Analysis by Text Mining and Co-occurrence Network
Masaki MatsumotoWakana NakamaHiroko TsudaRitsuko KasaiYoshika Yasunori
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JOURNAL FREE ACCESS

2020 Volume 25 Issue 2 Pages 61-69

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Abstract

The purpose of this study was to clarify the actual learning evaluation situation by conducting a questionnaire evaluation of junior high school and senior high school health and physical education student teachers who wished to obtain a license for both men and women. The subjects were 1094 first-year college students (689 males and 405 females) who took dance classes, which are mandatory courses for both men and women. In the questionnaire survey, five questions were asked. Chi-square test was used to evaluate gender differences in answers, while text mining and co-occurrence networks were used for the free description answers. The main results are shown below.

(1) 61.4% of the students selected “creative dance” as their most memorable class.

(2) A total of 81.3% of students replied that their impressions and interests in dance changed positively; and in a co-occurrence network with the consideration of frequently appearing free words, the words “difficult” and “hip hop” were seen to be linked; the “various movements” and “knowing the expression” community were also shown.

(3) 14.9% of the students answered that the dance class was difficult; a higher percentage of whom were male students.

(4) 47.2% of students answered that they were able to tackle the class with an image (consciousness) of when they become teachers.

(5) 61.7% of the students answered that dance classes are different from other practical classes, and in a co-occurrence network with frequent words in free description, the “I often think for myself” community, and the “cooperate and unite in class” community were shown.

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© 2020 Japan Society of Physical Exercise and Sport Science
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