Analyzing students academic performance using internal factors — A survey

Punithadevi, C.; Christina, E; Manju, S.

doi:10.1109/ipact.2017.8245165

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Analysis Of Student Data1

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2019

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“…The knowledge is hidden among the educational data set and genetic algorithm could be used to extract that information [11]. There are lot of papers which covers student data analysis in last years: [12] [14] [15].…”

Section: Analysis Of Student Datamentioning

confidence: 99%

Application of Genetic Algorithms in Higher Education Area

Kučak¹,

Juričić²,

Đambić³

2019

DAAAM Proceedings

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In computer science, a genetic algorithm (GA) is a computational method for solving optimization problems. Genetic algorithms are inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection. The application of genetic algorithms in higher education area is the focus of our study. The aim of this paper is to evaluate the possibilities of applying genetic algorithms in the higher education area. This paper identifies and analyses suitable literature, research papers and articles in order to determine their categorization in the field of higher education, to determine the current trends of using genetic algorithms in education, and to determine its current and future applications.

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Section: Analysis Of Student Datamentioning

confidence: 99%