Bibliographic citations
Cruz, J., Cruz, W. (2023). Uso del Software Packet Tracer en el aprendizaje de la red de datos en los estudiantes del Instituto Superior SISE - 2021 [Universidad Nacional de Educación Enrique Guzmán y Valle]. https://repositorio.une.edu.pe/handle/20.500.14039/8549
Cruz, J., Cruz, W. Uso del Software Packet Tracer en el aprendizaje de la red de datos en los estudiantes del Instituto Superior SISE - 2021 []. PE: Universidad Nacional de Educación Enrique Guzmán y Valle; 2023. https://repositorio.une.edu.pe/handle/20.500.14039/8549
@misc{renati/916967,
title = "Uso del Software Packet Tracer en el aprendizaje de la red de datos en los estudiantes del Instituto Superior SISE - 2021",
author = "Cruz Ramos, Waldir Ciro",
publisher = "Universidad Nacional de Educación Enrique Guzmán y Valle",
year = "2023"
}
The objective of this technological research work, which relates the use of virtualization software and network learning, was to determine to what extent the use of Cisco Packet Tracer software improves data network learning in students from the School of Information Technology (ETI) of the SISE Higher Technological Institute. For which, the methodology was based on an applied type of research, at a descriptive level, with a quantitative approach and non-experimental design, with a population made up of 420 students and a sample of 60 students belonging to the fifth cycle, whom A test was applied to measure knowledge of Packet Tracer and a questionnaire as an instrument to measure learning about the data network. Information that was processed and analyzed through descriptive statistics; and, as a result, it was found that 85% of the students reached a passing grade, most of which have a fair to good knowledge of the software. Likewise, regarding the learning of networks, it was found that 82% of the students know how to configure various devices through various links; It was also found that 77% of the students know that Cisco Meraki servers are used to configure and simulate networks in the cloud. So, for the most part, they demonstrated knowing how to logically and physically implement the data network, as well as manage it. It was concluded that the use of Packet Tracer software contributes to the improvement of data network learning.
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