Career planning development in system engineering students

Descripción del Articulo

it is well known that an economy based on knowledge has a strong potential for human capital. In this sense, universities have a key role in student's professional development and performance, as well as to increase the number of professional population in science, technology, engineer, and mat...

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Detalles Bibliográficos
Autores: Sandoval R.R., Ramos-Diaz J.
Formato: objeto de conferencia
Fecha de Publicación:2018
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/544
Enlace del recurso:https://hdl.handle.net/20.500.12390/544
https://doi.org/10.1109/INTERCON.2018.8526402
Nivel de acceso:acceso abierto
Materia:Systems engineering
Computation theory
Employment
Least squares approximations
Students
Career development
Contextual variables
Engineering disciplines
External characteristic
Partial least square (PLS)
Professional development
https://purl.org/pe-repo/ocde/ford#2.02.04
Descripción
Sumario:it is well known that an economy based on knowledge has a strong potential for human capital. In this sense, universities have a key role in student's professional development and performance, as well as to increase the number of professional population in science, technology, engineer, and mathematics. The aim of the present study is to obtain student's individual, structural and external characteristics by considering their context, which represents a condition that shape student's interest, persistence and goals in computing engineering discipline through career development. To accomplish this, we used self-reports based on Social Cognitive Career Theory in a sample of system engineering students (n=270) from three universities in the north of Lima. In addition to this, we evaluate the model through Structural Equation Modeling (SEM) under the partial least squared (PLS-SEM) approach. Results showed different associations and effects in individual and contextual variables among system engineering students.
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