Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System

The purpose is to enrich the evaluation system of physical education (PE) teaching in colleges and universities and to improve PE teaching methods and improve teaching quality. Based on big data information fusion and data mining technology, firstly, the related theories of teaching evaluation are a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Yong-tong Ma
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Technology (General) T1-995
Acceso en línea:	https://doaj.org/article/e31aa65d29d2454387ce9a728b096935
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e31aa65d29d2454387ce9a728b096935
record_format	dspace
spelling	oai:doaj.org-article:e31aa65d29d2454387ce9a728b0969352021-11-29T00:57:10ZFacing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System1687-726810.1155/2021/7168855https://doaj.org/article/e31aa65d29d2454387ce9a728b0969352021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7168855https://doaj.org/toc/1687-7268The purpose is to enrich the evaluation system of physical education (PE) teaching in colleges and universities and to improve PE teaching methods and improve teaching quality. Based on big data information fusion and data mining technology, firstly, the related theories of teaching evaluation are analyzed and expounded, as well as the characteristics and principles of the construction of college PE teaching evaluation system. Secondly, from the perspective of evaluation index system of sports teachers’ teaching and students’ sports teaching, the content and evaluation index of college sports teaching evaluation are analyzed under the background of big data information fusion and data mining by questionnaire survey. Combined with model test, the results show that traditional college sports teacher pays more attention to the design and teaching methods of PE and ignore the learning process of students. The evaluation process of PE ignores the individual differences of students, the feedback method lacks openness, and the evaluation process is isolated. Based on the big data technology and teaching evaluation theory, the evaluation index is designed for PE teaching in colleges and universities. The average value of the first layer indexes is above 4, and the coefficient of variation is less than 0.2, which can basically reflect the content of PE teaching evaluation and provide some reference for the research of PE teaching evaluation.Yong-tong MaHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995
spellingShingle	Technology (General) T1-995 Yong-tong Ma Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
description	The purpose is to enrich the evaluation system of physical education (PE) teaching in colleges and universities and to improve PE teaching methods and improve teaching quality. Based on big data information fusion and data mining technology, firstly, the related theories of teaching evaluation are analyzed and expounded, as well as the characteristics and principles of the construction of college PE teaching evaluation system. Secondly, from the perspective of evaluation index system of sports teachers’ teaching and students’ sports teaching, the content and evaluation index of college sports teaching evaluation are analyzed under the background of big data information fusion and data mining by questionnaire survey. Combined with model test, the results show that traditional college sports teacher pays more attention to the design and teaching methods of PE and ignore the learning process of students. The evaluation process of PE ignores the individual differences of students, the feedback method lacks openness, and the evaluation process is isolated. Based on the big data technology and teaching evaluation theory, the evaluation index is designed for PE teaching in colleges and universities. The average value of the first layer indexes is above 4, and the coefficient of variation is less than 0.2, which can basically reflect the content of PE teaching evaluation and provide some reference for the research of PE teaching evaluation.
format	article
author	Yong-tong Ma
author_facet	Yong-tong Ma
author_sort	Yong-tong Ma
title	Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
title_short	Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
title_full	Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
title_fullStr	Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
title_full_unstemmed	Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System
title_sort	facing big data information fusion and data mining technology to construct college physical education teaching evaluation system
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e31aa65d29d2454387ce9a728b096935
work_keys_str_mv	AT yongtongma facingbigdatainformationfusionanddataminingtechnologytoconstructcollegephysicaleducationteachingevaluationsystem
_version_	1718407680123469824

Facing Big Data Information Fusion and Data Mining Technology to Construct College Physical Education Teaching Evaluation System

Ejemplares similares