Using Big Data Fuzzy K‐Means Clustering and Information Fusion Algorithm in English Teaching Ability Evaluation

Chen, Zhen

doi:10.1155/2021/5554444

Cited by 54 publications

(56 citation statements)

References 22 publications

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“…In China, the Ministry of Education issued the guidelines for the teaching of PE courses in national colleges and universities in 2002 and pointed out that PE courses are the main sources for college students to exercise. rough reasonable PE and scientific physical exercise processes, the students can strengthen their physique, improve their physical and mental health, and improve their physical literacy [1][2][3]. As an important part of physical educational activities, PE teaching evaluation plays a central role in the process of carrying out quality education and promoting healthy development.…”

Section: Introductionmentioning

confidence: 99%

Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

Duan

Hou

2021

Mobile Information Systems

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One of the most significant components of the teaching department is the evaluation of teaching quality. The traditional teaching quality evaluation model has the problems of low weight calculation accuracy and long evaluation time. With the development of educational informatization, modern information processing technology can be used to effectively evaluate teachers’ teaching quality. In this article, a physical education teaching quality evaluation model based on the simulated annealing algorithm is proposed. An evaluation index system is established based on the construction principles of the evaluation index system followed by the construction of a judgment matrix to calculate the weight of the evaluation index. The simulated annealing algorithm is employed to effectively optimize the weight of the evaluation index and improve the evaluation accuracy. In addition, the analytic hierarchy process (AHP) is used to test the consistency of the judgment matrix, and the weight ranking results of the evaluation indexes are obtained to complete the teaching quality evaluation of physical education. The experimental results show that the performance of the proposed model in terms of evaluation weight calculation accuracy and evaluation calculation time is higher than that of the existing models. Therefore, the proposed model can better meet the requirements of physical education teaching quality evaluation.

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Section: Introductionmentioning

confidence: 99%

Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

Duan

Hou

2021

Mobile Information Systems

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“…In this paper, the Likert scale was used to assign scores to the expert questionnaire, as shown in Table 3 [14]. If an expert recognizes an indicator, he will choose "very important" and "relatively important"; otherwise, it will be deemed that he does not recognize the indicator.…”

Section: Results Of the First-round Expert Surveymentioning

confidence: 99%

Quantitative Analysis on the Evaluation Indicators of Teaching Abilities of Physical Education Teachers in Colleges and Universities

Luo

2021

Int. J. Emerg. Technol. Learn.

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This paper studies the teaching abilities of physical education (P.E.) teachers in colleges and universities. First, an evaluation indicator system for the teaching abilities of P.E. teachers in colleges and universities was constructed using the Delphi method, and then the weights of indicators at each level were determined using the expert survey method, so that a standard scale was formed for the teaching ability evaluation system. After that, empirical analysis was performed on the evaluation indicator system. The research results show that the teaching ability evaluation indicator system for P.E. teachers in colleges and universities proposed in this paper can be used to give a quantitative analysis on teachers’ teaching abilities and clearly reflect their deficiencies in teaching. This will allow teachers to understand what to improve in their teaching so that their teaching abilities will be enhanced. This research provides theoretical and practical references for the evaluation of P.E. teachers’ teaching abilities in higher education institutions in China, and thus, it is of great theoretical and practical significance to promoting the reform of P.E. teaching in higher education and the professional development of teachers.

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“…Through fuzzy k-means clustering, Zhen [7] captured deep knowledge from teaching data samples, and evaluated the academic performance of students. Ishman et al [8] explored the cumulative data on teachers and student evaluations with the Apriori algorithm, and revealed the frequent problems in the teaching process.…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved Apriori Algorithm for Association Mining Between Physical Fitness Indices of College Students

Pan

2021

Int. J. Emerg. Technol. Learn.

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The physical fitness of college students can be evaluated scientifically based on the data of physical education (PE). This paper firstly relies on the Apriori algorithm to mine the hidden correlations between the physical fitness indices from the PE data on college students, and identify the indices closely associated with the physical fitness of college students. Then, the Apriori algorithm was improved to reduce the time complexity of association rule mining. Based on the improved algorithm, it was learned that the correlation coefficients of several indices surpassed the minimum support of 0.2 and minimum confidence of 0.7, reflecting their important impacts on physical fitness. Thus, physical fitness of college students is significantly influenced by speed, endurance, flexibility, and vital capacity, but not greatly affected by height and weight. The research results provide an important guide for the test and curriculum designs of PE for college students.

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Using Big Data Fuzzy K‐Means Clustering and Information Fusion Algorithm in English Teaching Ability Evaluation

Cited by 54 publications

References 22 publications

Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

Research on Teaching Quality Evaluation Model of Physical Education Based on Simulated Annealing Algorithm

Quantitative Analysis on the Evaluation Indicators of Teaching Abilities of Physical Education Teachers in Colleges and Universities

An Improved Apriori Algorithm for Association Mining Between Physical Fitness Indices of College Students

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