Classification Model of Municipal Management in Local Governments of Peru based on K-means Clustering Algorithms

Morales, José; Vargas, Nakaday; Coyla, Mario; Huanca, Jose

doi:10.14569/ijacsa.2020.0110770

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Consequently, the combination of MOOCs and a flipped classroom model [30] offers an integrated strategy to improve information literacy and digital competencies among primary teachers in the Lambayeque region [31]. With the help of this approach, they will be able to adapt to a constantly evolving educational environment and be prepared to face the growing demands of the 21st-century globalized and hyperconnected world, where proficient use of technology and information is essential for both teachers and students [32].…”

Section: Use Of the Flipped Classroom And Mooc Methodology To Develop...mentioning

confidence: 99%

Proposal for a Flipped Classroom Program with Massive Open Online Courses to Improve Access to Information and Information Literacy in Primary School Teachers

Lendínez Turón,

Ortiz Marcos,

Lorenzo Quiles

et al. 2024

Societies

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The objective of this study was to propose a teacher training program based on the flipped classroom model with MOOCs to strengthen access to information and information literacy among primary education teachers in the Lambayeque region of Peru. The non-experimental design was assumed with a quantitative approach and a propositional, descriptive type. A diagnosis was made using a questionnaire given to 917 primary school teachers. It was discovered that nearly all of the items in the questionnaire revealed a deficiency in the ability to navigate, search, and filter information, data, and digital content; the highest percentages were at the Basic level, with the exception of the item expressing information needs in an organized manner, which was at the Advanced C2 level. The lowest percentage was at the Advanced C1 level, and the majority of the lower percentages were at the Advanced level. In addition, there are competency deficiencies in the evaluation of information, data, and digital content of nearly all the items: the highest percentages were at the Basic level, with the exception of the item involving the processing of information, data, and digital content, where 26.4% were at the Intermediate B1 level and just 2.8% managed to be at the highest level, which is Advanced C2. Furthermore, when it came to storage and retrieval of information, data, and digital content competency, all the high percentages were at the Basic level, and all the low percentages were at the highest level, that is, Advanced. These findings helped us to understand that teachers have only a basic knowledge of information literacy and information competency. As a result, it is necessary to advocate for a teacher training program based on the flipped classroom model with MOOCs. This idea was supported by the opinions of five experts, who stated that its implementation would enable primary teachers of Regular Basic Education in the region of Lambayeque (Peru) to develop their access to information and information literacy competency area.

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Section: Use Of the Flipped Classroom And Mooc Methodology To Develop...mentioning

confidence: 99%

Proposal for a Flipped Classroom Program with Massive Open Online Courses to Improve Access to Information and Information Literacy in Primary School Teachers

Lendínez Turón,

Ortiz Marcos,

Lorenzo Quiles

et al. 2024

Societies

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“…In the K-Means algorithm, the mean value of the elements within the group is represented in the center of each group. The K-Means algorithm [19] groups the data into groups, defining a fixed number of groups, assigning data iteratively to the groups formed by adjusting the centers in each group.…”

Section: A K-meansmentioning

confidence: 99%

Analogy of the Application of Clustering and K-Means Techniques for the Approximation of Values of Human Development Indicators

Rocha¹,

Zela²,

Torres³

et al. 2021

IJACSA

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The objective of this study was to apply Clustering and K-Means' techniques to classify the departments of Peru according to their Human Development Index. In this article, the elbow method was used to determine the optimal number of clusters, applying the classification algorithms to group the departments of Peru according to their similarities, in addition to the Principal Component Analysis (PCA) technique for a better display of clusters. After applying the unsupervised algorithms, the results were more relevant in clusters 2 and 4 according to their HDI, made up of the departments of Arequipa, the Constitutional Province of Callao, Ica, Lima, Moquegua and Tacna, where the most notable is the life expectancy at birth, the population with full secondary education, the number of years of education, the average per capita income, and the state's density index. The results obtained by the K-Means algorithm show more cohesive results than the Clustering algorithm.

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Classification Model of Municipal Management in Local Governments of Peru based on K-means Clustering Algorithms

Cited by 2 publications

References 15 publications

Proposal for a Flipped Classroom Program with Massive Open Online Courses to Improve Access to Information and Information Literacy in Primary School Teachers

Proposal for a Flipped Classroom Program with Massive Open Online Courses to Improve Access to Information and Information Literacy in Primary School Teachers

Analogy of the Application of Clustering and K-Means Techniques for the Approximation of Values of Human Development Indicators

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