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Analysis of the State of Learning in University Students with the Use of a Hadoop Framework

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Listed:
  • William Villegas-Ch.

    (Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador)

  • Milton Roman-Cañizares

    (Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador)

  • Santiago Sánchez-Viteri

    (Departamento de Sistemas, Universidad Internacional del Ecuador, Quito 170411, Ecuador)

  • Joselin García-Ortiz

    (Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador)

  • Walter Gaibor-Naranjo

    (Carrera de Ciencias de la Computación, Universidad Politécnica Salesiana, Quito 170105, Ecuador)

Abstract

Currently, education is going through a critical moment due to the 2019 coronavirus disease that has been declared a pandemic. This has forced many organizations to undergo a significant transformation, rethinking key elements of their processes and the use of technology to maintain operations. The continuity of education has become dependent on technological tools, as well as on the ability of universities to cope with a precipitous transition to a remote educational model. That has generated problems that affect student learning. This work proposes the implementation of a Big Data framework to identify the factors that affect student performance and decision-making to improve learning. Similar works cover two main research topics under Big Data in education, the modeling and storage of educational data. However, they do not consider issues such as student performance and the improvement of the educational system with the integration of Big Data. In addition, this work provides a guide for future studies and highlights new insights and directions for the successful use of Big Data in education. Real-world data were collected for the evaluation of the proposed framework, the collection of these being the existing limitation in all research due to generalized rejection of data consent.

Suggested Citation

  • William Villegas-Ch. & Milton Roman-Cañizares & Santiago Sánchez-Viteri & Joselin García-Ortiz & Walter Gaibor-Naranjo, 2021. "Analysis of the State of Learning in University Students with the Use of a Hadoop Framework," Future Internet, MDPI, vol. 13(6), pages 1-25, May.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:6:p:140-:d:560779
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    References listed on IDEAS

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    1. William Villegas-Ch & Xavier Palacios-Pacheco & Milton Román-Cañizares, 2020. "An Internet of Things Model for Improving Process Management on University Campus," Future Internet, MDPI, vol. 12(10), pages 1-16, September.
    2. Seung Jae Lee & Hyunae Lee & Taegoo Terry Kim, 2018. "A Study on the Instructor Role in Dealing with Mixed Contents: How It Affects Learner Satisfaction and Retention in e-Learning," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    3. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2019. "Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
    4. Wahab Ali, 2020. "Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic," Higher Education Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-16, September.
    5. Winger Sei-Wo Tseng & Chih-Wei Hsu, 2019. "A Smart, Caring, Interactive Chair Designed for Improving Emotional Support and Parent-Child Interactions to Promote Sustainable Relationships Between Elderly and Other Family Members," Sustainability, MDPI, vol. 11(4), pages 1-32, February.
    6. Esther Salmerón-Manzano & Francisco Manzano-Agugliaro, 2018. "The Higher Education Sustainability through Virtual Laboratories: The Spanish University as Case of Study," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    7. William Villegas-Ch & Jhoann Molina-Enriquez & Carlos Chicaiza-Tamayo & Iván Ortiz-Garcés & Sergio Luján-Mora, 2019. "Application of a Big Data Framework for Data Monitoring on a Smart Campus," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
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