Application of Kmeans Algorithm with Pearson Coefficient in College Student Sports Quality and Sports Resources

2014 ◽  
Vol 905 ◽  
pp. 725-730
Author(s):  
Lian Zheng Xi ◽  
Wei Lu
Keyword(s):  
Higher Education ◽  
Vital Capacity ◽  
Clustering Algorithm ◽  
Pearson Correlation ◽  
Education Curriculum ◽  
Education Resources ◽  
Teaching Content ◽  
Pearson Coefficient ◽  
Limited Supply ◽  
Present Algorithm

Because the higher education has entered popularization stage, the contradiction between the unlimited demand for higher education resources of colleges and universities and the limited supply of resources becomes more and more prominent. Similarly, college sports resources is also limited. How to optimize the sports curriculum according to the students quality is a subject worthy of study. This paper proposes to study the students sport quality such as vital capacity, grip strength, enduranceuse using Pearson correlation and Kmeans clustering algorithm. It can provide guidance for sports education curriculum and teaching content. And we use 2013 freshmen sports test data of an university as example, the experiment proves that the present algorithm can effectively guide for curriculum set.

Application of K-Means Algorithm with Person Coefficient in Colleges Physical Education

2014 ◽  
Vol 915-916 ◽  
pp. 1320-1326
Author(s):  
Lian Zheng Xi ◽  
Bao Jin Zhao
Keyword(s):  
Physical Education ◽  
Physical Fitness ◽  
Physical Condition ◽  
Physical Education Teachers ◽  
Education Curriculum ◽  
Teaching Management ◽  
Healthy Development ◽  
Teaching Content ◽  
Pearson Coefficient ◽  
Development Of Students

For developing students' personality and interest of participating in physical exercise, improving students physical fitness, schools at all levels have carried out useful Physical Education exploration and reform. However, by the restrictions of teaching management system, physical education teachers and teaching venues and facilities, the students' physical condition is not improved ideally. Under existing conditions, how to use Pearson coefficient K-means algorithm to optimize physical education according to the students 'sports quality has become a topic worthy of study. It can guide how to set the physical education curriculum and teaching content, so as to promote the healthy development of students' physical fitness.

Limitações e desafios à formação do pedagogo na área de avaliação educacional

2016 ◽  
pp. 109
Author(s):  
Wagner Bandeira Andriola
Keyword(s):  
Higher Education ◽  
Teacher Training ◽  
Teacher Performance ◽  
Educational Assessment ◽  
School Management ◽  
Educational Evaluation ◽  
External Evaluation ◽  
Education Curriculum ◽  
The Government ◽  
Detailed Diagnosis

RESUMOO texto proporciona reflexões sobre a formação do Pedagogo, enfatizando as limitações mais visíveis na área da avaliação educacional. A partir da análise de matrizes curriculares de cursos de graduação em Pedagogia, constatou-se que algumas das principais demandas da sociedade atual não têm sido atendidas. Propôs-se que as matrizes curriculares fossem revistas, para permitir o desenvolvimento de cinco competências básicas: a) capacidade de compreender os resultados de avaliações externas realizadas pelos municípios, pelos estados e pela federação; b) capacidade de usar os resultados das avaliações externas para aprimorar a atuação docente; c) capacidade de usar os micro-dados das avaliações externas para obter diagnósticos mais detalhados da situação da escola; d) capacidade de usar os resultados dos diagnósticos mais detalhados para planejar ações de aprimoramento da gestão escolar; e) capacidade de avaliar a execução e adequação das ações de aprimoramento da gestão escolar.Palavras chave: Formação do pedagogo, ensino superior, avaliação educacional.Limitations and challenges in the formation of pedagogue in the area of education assessment.ABSTRACTThe study provides reflections on the formation of the pedagogue, emphasizing the most visible limitations in the field of educational assessment. From the analysis of matrices of education curriculum, it found that some of the main demands of today’s society have not been addressed yet. It proposed the revision of the curricular matrices to allow the development of five skills: a) ability to understand the results of external evaluations conducted by municipalities, regions and the government; b) ability to use the results of external evaluations to improve teacher performance; c) ability to use external evaluation microdata for a more detailed diagnosis of the school situation; d) ability to use results of the most detailed diagnostics for planning actions to improve school management; e) ability to assess the implementation and adaptation of the measures to improve school management.Key words: Teacher training, higher education, educational evaluation.

An approach for document retrieval using cluster-based inverted indexing

2021 ◽  
pp. 016555152110184
Author(s):  
Gunjan Chandwani ◽  
Anil Ahlawat ◽  
Gaurav Dubey
Keyword(s):  
High Performance ◽  
Clustering Algorithm ◽  
Pearson Correlation ◽  
Relevant Information ◽  
Document Retrieval ◽  
Bhattacharyya Distance ◽  
Data Set ◽  
Query Matching ◽  
Inverted Indexing ◽  
Query Optimisation

Document retrieval plays an important role in knowledge management as it facilitates us to discover the relevant information from the existing data. This article proposes a cluster-based inverted indexing algorithm for document retrieval. First, the pre-processing is done to remove the unnecessary and redundant words from the documents. Then, the indexing of documents is done by the cluster-based inverted indexing algorithm, which is developed by integrating the piecewise fuzzy C-means (piFCM) clustering algorithm and inverted indexing. After providing the index to the documents, the query matching is performed for the user queries using the Bhattacharyya distance. Finally, the query optimisation is done by the Pearson correlation coefficient, and the relevant documents are retrieved. The performance of the proposed algorithm is analysed by the WebKB data set and Twenty Newsgroups data set. The analysis exposes that the proposed algorithm offers high performance with a precision of 1, recall of 0.70 and F-measure of 0.8235. The proposed document retrieval system retrieves the most relevant documents and speeds up the storing and retrieval of information.

scholarly journals Interdisciplinary bachelor's degree in health: analysis of a new higher education curriculum in Brazil

2012 ◽  
Vol 16 (42) ◽  
pp. 719-731 ◽  
Author(s):  
Layza Castelo Branco Mendes ◽  
Andrea Caprara
Keyword(s):  
Higher Education ◽  
Social Issues ◽  
Participant Observation ◽  
Education Institution ◽  
Bachelor's Degree ◽  
Social Needs ◽  
Education Curriculum ◽  
Higher Education Curriculum ◽  
Intense Process

Brazilian public universities are undergoing an intense process of change in search of solutions to transform themselves into institutions that are more attuned to 21st century social needs. In this regard, the aim of this study was to analyze a new higher education curriculum offered at the Federal University of Bahia (UFBA): the Interdisciplinary Bachelor's degree in Healthcare. This was a preliminary qualitative investigation, accomplished as a case study. The methodological tools used include document analysis, open interviews and participant observation. It was seen that the teachers were engaged in the process of putting together a course that promotes training of professionals qualified to undertake social development. It was also noted that the students were themselves proving to be capable of deep critical reflection on social issues. It was therefore concluded that the case studied has provided the results expected by the higher education institution hosting the course.

DGFCM: A New Dynamic Clustering Algorithm

2014 ◽  
Vol 556-562 ◽  
pp. 3945-3948
Author(s):  
Xin Qing Geng ◽  
Hong Yan Yang ◽  
Feng Mei Tao
Keyword(s):  
Vector Space ◽  
Fuzzy Clustering ◽  
Clustering Algorithm ◽  
Vector Space Model ◽  
Dynamic Clustering ◽  
Self Organizing Maps ◽  
Space Model ◽  
Fuzzy Clustering Algorithm ◽  
Present Algorithm ◽  
Self Organizing

This paper applies the dynamic self-organizing maps algorithm to determining the number of clustering. The text eigenvector is acquired based on the vector space model (VSM) and TF.IDF method. The number of clustering acquired by the dynamic self-organizing maps. The threshold GT control the network’s growth.Compared to the traditional fuzzy clustering algorithm, the present algorithm possesses higher precision. The example demonstrates the effectiveness of the present algorithm.

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