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

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yong-tong Ma
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Physical Education ◽  
Information Fusion ◽  
Teaching Methods ◽  
Evaluation System ◽  
Evaluation Process ◽  
Teaching Evaluation ◽  
Evaluation Index ◽  
Mining Technology

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.

The Application of Data Mining Technology in the Teaching Evaluation in Colleges and Universities

2017 ◽  
Vol 14 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Xiaoqi Liu
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Evaluation System ◽  
Information Gain ◽  
Original Data ◽  
Teaching Evaluation ◽  
Personal Factors ◽  
Mining Technology ◽  
Id3 Algorithm ◽  
College Work

As the teaching management informationization level is higher and higher, Network based teaching evaluation system has been widely used, and a lot of evaluation of the original data has been accumulated. This research, taking recent five years teaching evaluation data of the college work for as basis, analyzes teachers’ personal factors and teaching operation factors respectively with the data mining technology of decision tree ID3 algorithm. By calculating the factors of information entropy and information gain value, the corresponding decision tree is gained. The teaching evaluation results are made use of really rather than become a mere formality, and thus provide powerful basis for the effectiveness and scientificalness of teaching evaluation.

scholarly journals An Empirical Study on the Countermeasures of Implementing 5G Multimedia Network Technology in College Education

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ke Li ◽  
Sang-Bing Tsai
Keyword(s):  
Physical Education ◽  
Heterogeneous Network ◽  
Evaluation System ◽  
Evaluation Process ◽  
Representation Learning ◽  
Attention Mechanism ◽  
Teaching Model ◽  
Education Evaluation ◽  
Network Representation ◽  
Multimedia Network

Aiming at the problem of 5G multimedia heterogeneous multimodal network representation learning, this paper proposes a collaborative multimodal heterogeneous network representation learning method based on attention mechanism. This method learns different representations for nodes based on heterogeneous network structure information and multimodal content and designs an attention mechanism to learn weights for different representations to fuse them to obtain robust node representations. Combining the general process of exploring the college physical education model and the characteristics of the multimedia network classroom environment, this article constructs the process of exploring the college physical education teaching model of the multimedia network classroom. Through the research and practice of the inquiry college physical education teaching model in the multimedia network classroom, it is verified that the implementation of the inquiry college physical education teaching in the multimedia network classroom can effectively influence and increase the students’ interest in learning and stimulate the students’ inner learning motivation. Through the guidance and training of teachers, a variety of disciplines can be used to carry out college physical education in multimedia network classrooms, so that the integration between courses can be truly realized, with the aim that all courses can share the excellent results brought by the development of modern education technology. More educators understand, accept, and participate in the practice of college physical education based on multimedia network classrooms and better serve the education of college physical education. The construction of the college physical education evaluation system should be combined with the characteristics of the 5G multimedia network era. The evaluation process includes data collection, data analysis, result output, and result feedback. Each link is an indispensable part of the college physical education evaluation process. Based on the relevant knowledge of the 5G multimedia network, the evaluation indicators determined in this study can basically reflect the various elements of the physical education process in colleges and universities. The distribution of index weight coefficients is more scientific and reasonable. Compared with the current system, the college physical education evaluation system constructed by exploration has a certain degree of objectivity and scientificity. Therefore, it is feasible to apply the 5G multimedia network to the evaluation of college physical education.

Diversified Evaluation Method of Physical Education Teaching Effect based on Cloud Computing

2021 ◽  
Vol 7 (5) ◽  
pp. 2566-2576
Author(s):  
Lun Feng ◽  
Jihui Guan
Keyword(s):  
Cloud Computing ◽  
Physical Education ◽  
Evaluation Method ◽  
Current Situation ◽  
Teaching Evaluation ◽  
Evaluation Index ◽  
Education Curriculum ◽  
Evaluation Standard ◽  
Evaluation Form ◽  
Evaluation Algorithm

By using the method of literature, this paper analyzes the development of physical education teaching evaluation, and focuses on the diversified trend of the development of physical education teaching evaluation. The pluralistic trend of PE teaching evaluation is mainly reflected in the following aspects: the pluralistic function of PE teaching evaluation, the pluralistic evaluation standard, the pluralistic evaluation content, the pluralistic evaluation subject, the pluralistic evaluation method and the pluralistic evaluation form. In view of the current situation of unified evaluation of school physical education curriculum, this paper puts forward the diversified evaluation method of physical education teaching effect based on cloud computing, and standardizes the evaluation index optimization evaluation algorithm, in order to better provide reference for the development of physical education teaching.

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