Model and Simulation of Structural Equations for Determining the Student Satisfaction | Zendy

Amelec Viloria | Zendy; Omar Bonerge Píneda Lezama | Zendy; Nohora Mercado | Zendy

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Model and Simulation of Structural Equations for Determining the Student Satisfaction

Author(s) -

Amelec Viloria,

Omar Bonerge Píneda Lezama,

Nohora Mercado

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.11.053

Subject(s) - structural equation modeling , latent variable , computer science , path coefficient , independence (probability theory) , linear regression , path analysis (statistics) , factorial , regression analysis , variables , linear equation , latent variable model , econometrics , statistics , mathematics , machine learning , mathematical analysis , geometry

Structural Equations Models (SEM) determine the dependence or independence relationship of the variables through the integration of linear equations. These models combine factorial analysis with linear regression to determine the data adjustment obtained with a proposed model by means of a path analysis, which represents the relationship between latent and observed variables. Observed variables are those that can be directly measured, usually through questionnaires. Latent variables are not directly measured and can be endogenous (dependent) or exogenous (independent). This research provides a model that allows to determine student satisfaction through the structural equations modeling by using the Technological Pedagogical Content Knowledge model (TPACK).

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