Application of Data Mining and Data Visualization in Strategic Management Data at Israel Technological University of Ecuador

Egas, Paúl Francisco Baldeón; Saltos, Miguel Alfredo Gaibor; Toasa, Renato M.

doi:10.1007/978-3-030-32022-5_39

Cited by 3 publications

(3 citation statements)

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“…These models could focus on competencybased learning and project-based learning. Furthermore, consideration should be given to those academic programs and levels that pose significant difficulties for students, as well as those that do not [45]. Since some institutions, particularly those at the primary and secondary education levels, lack sophisticated computer systems, the implementation of simple algorithms is suggested [42].…”

Section: Discussionmentioning

confidence: 99%

“…Studies have shown that analyzing student demographics, knowledge assessments, and performance can provide relevant information on existing patterns. For example, a study on Israel Technological University analyzed student grades from 2012 to 2018, revealing that the nineth semester had the highest approval rate, while the second and third levels had the highest losses [45]. Another study used machine learning algorithms to determine the variables that influenced mathematics performance in high school students in Ambato-Ecuador, with the random forest model generating the best prediction results [42].…”

Section: Educationmentioning

confidence: 99%

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Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

2023

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Data analysis is increasingly critical in aiding decision-making within public and private institutions. This paper scrutinizes the status quo of big data and data analysis and its applications within Ecuador, focusing on its societal, educational, and industrial impact. A detailed literature review was conducted from academic databases such as SpringerLink, Scopus, IEEE Xplore, Web of Science, and ACM, incorporating research from inception until May 2023. The search process adhered to the PRISMA statement, employing specific inclusion and exclusion criteria. The analysis revealed that data implementation in Ecuador, while recent, has found noteworthy applications in six principal areas, classified using ISCED: education, science, engineering, health, social, and services. In the scientific and engineering sectors, big data has notably contributed to disaster mitigation and optimizing resource allocation in smart cities. Its application in the social sector has fortified cybersecurity and election data integrity, while in services, it has enhanced residential ICT adoption and urban planning. Health sector applications are emerging, particularly in disease prediction and patient monitoring. Educational applications predominantly involve student performance analysis and curricular evaluation. This review emphasizes that while big data’s potential is being gradually realized in Ecuador, further research, data security measures, and institutional interoperability are required to fully leverage its benefits.

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Section: Discussionmentioning

confidence: 99%

Section: Educationmentioning

confidence: 99%

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

2023

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“…A more recent study analysed the data generated from 2012 to 2018 at the Israel Technological University of Ecuador. The techniques used to represent the information allowed making appropriate decisions to improve the processes in deficient areas (Baldeón et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Applied bibliometrics and information visualization for decision-making processes in higher education institutions

Vílchez‐Román

Sanguinetti²,

Mauricio-Salas

2020

LHT

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PurposeThe purpose of this paper is to analyse how using bibliometrics and information visualization can provide a “picture at glance” from which decision-makers can structure processes, thus organizing outputs/outcomes from inception.Design/methodology/approachThis study carried out a bibliometric-oriented review on studies on higher education students' retention; 1,962 records were downloaded from Scopus and grouped into three five-year intervals: 2002–2006 (n = 236), 2007–2011 (n = 584) and 2012–2016 (n = 1,142). Centrality measures and text-mining techniques were used to analyse data.FindingsClusters of academic networks were identified by using co-citation analysis. Also, terms with high semantic value were ranked and grouped by using automatic term extraction and co-word analysis.Practical implicationsThe bibliometric approach used in this study identifies clusters of authors specialized in student retention, as well as detects the primary terms within this research field.Originality/valueThis paper provides evidence that a bibliometric approach in conjunction with data visualization can be a valuable complement to in-depth literature reviews for the decision-making process.

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Big Data as a Tool for Analyzing Academic Performance in Education

Ayala-Chauvin,

Chucuri-Real,

Escudero-Villa

et al. 2024

Lecture Notes in Networks and Systems

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Application of Data Mining and Data Visualization in Strategic Management Data at Israel Technological University of Ecuador

Cited by 3 publications

References 10 publications

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

Exploring the Landscape of Data Analysis: A Review of Its Application and Impact in Ecuador

Applied bibliometrics and information visualization for decision-making processes in higher education institutions

Big Data as a Tool for Analyzing Academic Performance in Education

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