Open AccessA Comprehensive Evaluation System of Practical Ability of Physical Education Teaching Based on Classification and Clustering Algorithm
Author(s) -
Qing Deng
Publication year - 2021
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v16i19.26163
Subject(s) - physical education , cluster analysis , coaching , computer science , interpersonal communication , curriculum , mathematics education , psychology , algorithm , artificial intelligence , pedagogy , social psychology , psychotherapist
The practical ability is an important skill of college students majoring in physical education (PE). It can be subdivided into general practical ability and professional practical ability. This paper summarizes the current state of PE teaching practice in colleges, and applies classification and clustering algorithm to the comprehensive evaluation of the practical ability of PE teaching. The results show that the practical ability of PE majors is empirical, contextual, developmental, and personal. During the self-evaluation of practical ability, communication ability won the highest satisfaction among PE majors. In terms of social PE coaching ability, interpersonal communication ability won the highest satisfaction among PE majors. The research findings of this paper lay a basis for the curriculum reform of PE major, and the comprehensive evaluation of education practical ability.