Skip to main content
Top

2018 | OriginalPaper | Chapter

Big Data: An Exploration Toward the Improve of the Academic Performance in Higher Education

Authors : Leonardo Emiro Contreras Bravo, Giovanny Mauricio Tarazona Bermudez, José Ignacio Rodríguez Molano

Published in: Data Mining and Big Data

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

An outlook is presented, summarizing the types of information analysis that are applying currently to the educative area like the: Data mining, academic analysis and learning analytics, identifying the advantages of the implementation, the use of the methodology b-learning and big data in the pedagogical processes. Later, an approach of the existing problem in the Colombian university is made, with the purpose of propose an application model tools of big data to determinate student retention, desertion and university academic performance.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
2.
go back to reference Salcedo, A.: Desertion in Colombian Universities. Rev. Acad. y virtualidad 3(1), 50–60 (2010) Salcedo, A.: Desertion in Colombian Universities. Rev. Acad. y virtualidad 3(1), 50–60 (2010)
3.
go back to reference Estrada, J., Quintero, R., Vasquez, D.: Bajo rendimiento académico en la Universidad Distrital Francisco José de Caldas, Primera. Editorial UD, Bogotá (2015) Estrada, J., Quintero, R., Vasquez, D.: Bajo rendimiento académico en la Universidad Distrital Francisco José de Caldas, Primera. Editorial UD, Bogotá (2015)
4.
go back to reference Khan, I., Choi, J.: An application of educational data mining (EDM) technique for scholarship prediction. Int. J. Softw. Eng. Appl. 8(12), 31–42 (2014) Khan, I., Choi, J.: An application of educational data mining (EDM) technique for scholarship prediction. Int. J. Softw. Eng. Appl. 8(12), 31–42 (2014)
5.
go back to reference García, D.: Construcción de un modelo para determinar el rendimiento académico de los estudiantes basado en learning analytics (análisis del aprendizaje), mediante el uso de técnicas multivariantes, February 2016 García, D.: Construcción de un modelo para determinar el rendimiento académico de los estudiantes basado en learning analytics (análisis del aprendizaje), mediante el uso de técnicas multivariantes, February 2016
6.
go back to reference Tomás, J., Expósito, M., Sempere, S.: Determinantes del rendimiento académico en los estudiantes de grado. Un estudio en administración y dirección de empresas. Rev. Investig. Educ. 32(2), 379–392 (2014) Tomás, J., Expósito, M., Sempere, S.: Determinantes del rendimiento académico en los estudiantes de grado. Un estudio en administración y dirección de empresas. Rev. Investig. Educ. 32(2), 379–392 (2014)
7.
go back to reference Kotzé, M.: Psychological resources as predictors of academic performance of first-year students in higher education., Sielkundige bronne as voorspellers van Akad. prestasie van eerstejaarstudente die hoëronderwys 45(2), 85–121 (2013) Kotzé, M.: Psychological resources as predictors of academic performance of first-year students in higher education., Sielkundige bronne as voorspellers van Akad. prestasie van eerstejaarstudente die hoëronderwys 45(2), 85–121 (2013)
8.
go back to reference Guzmán, C.: Deserción estudiantil en la eduacion superior colombiana, Ministerio de eduacion nacional- Republica de Colombia, p. 158 (2009) Guzmán, C.: Deserción estudiantil en la eduacion superior colombiana, Ministerio de eduacion nacional- Republica de Colombia, p. 158 (2009)
9.
go back to reference Ejreaw, A., Drus, M.: The challenges of massive open online courses (mooc) – a preliminary review. ICOCI Kuala Lumpur. Univ. Utara Malaysia, pp. 25–27 (2017) Ejreaw, A., Drus, M.: The challenges of massive open online courses (mooc) – a preliminary review. ICOCI Kuala Lumpur. Univ. Utara Malaysia, pp. 25–27 (2017)
10.
go back to reference Carrillo, J., et al.: Big Data en los entornos de Defensa y Seguridad, Inst. Español Estud. Estratégicos, vol. 1, p. 124 (2013) Carrillo, J., et al.: Big Data en los entornos de Defensa y Seguridad, Inst. Español Estud. Estratégicos, vol. 1, p. 124 (2013)
11.
go back to reference Dipro, E.J.C., Almenara, J., Díaz, M.: ICT training of university teachers in a Personal Learning. 1(1), 2 (2012) Dipro, E.J.C., Almenara, J., Díaz, M.: ICT training of university teachers in a Personal Learning. 1(1), 2 (2012)
12.
go back to reference Picciano, A.: Big data and learning analytics in blended learning environments: benefits and concerns. Int. J. Interact. Multimed. Artif. Intell. 2(7), 35 (2014) Picciano, A.: Big data and learning analytics in blended learning environments: benefits and concerns. Int. J. Interact. Multimed. Artif. Intell. 2(7), 35 (2014)
13.
go back to reference Dyckhoff, A., Zielke, D.: Design and implementation of a learning analytics toolkit for teachers. Educ. Technol. Soc. 15(3), 58–76 (2012) Dyckhoff, A., Zielke, D.: Design and implementation of a learning analytics toolkit for teachers. Educ. Technol. Soc. 15(3), 58–76 (2012)
14.
go back to reference B. I. G. Data and E. N. La, “Big data,” vol. 17, pp. 1–16 (2016) B. I. G. Data and E. N. La, “Big data,” vol. 17, pp. 1–16 (2016)
15.
go back to reference Baepler, P., Murdoch, C.J.: Academic analytics and data mining in higher education. Int. J. Scholarsh. Teach. Learn. 4(2), 17 (2010) Baepler, P., Murdoch, C.J.: Academic analytics and data mining in higher education. Int. J. Scholarsh. Teach. Learn. 4(2), 17 (2010)
16.
go back to reference Argonza, J.: Big data en la educación. Rev. Digit. Univ. 17(1), 1–16 (2016) Argonza, J.: Big data en la educación. Rev. Digit. Univ. 17(1), 1–16 (2016)
17.
go back to reference Nunes, J.: Estado da Arte sobre Analítica da Aprendizagem na América Latina. no. Cbie, p. 1024 (2015) Nunes, J.: Estado da Arte sobre Analítica da Aprendizagem na América Latina. no. Cbie, p. 1024 (2015)
18.
go back to reference Elias, T.: Learning Analytics: Definitions, Processes and Potential (2011) Elias, T.: Learning Analytics: Definitions, Processes and Potential (2011)
19.
go back to reference Khalil, M., Ebner, M.: Learning analytics: principles and constraints. EdMedia World Conf. Educ. Media Technol. 2015(1), 1789–1799 (2015) Khalil, M., Ebner, M.: Learning analytics: principles and constraints. EdMedia World Conf. Educ. Media Technol. 2015(1), 1789–1799 (2015)
21.
go back to reference Iten, L., Arnold, K., Pistilli, M.: Mining real-time data to improve student success in a gateway course. In: Eleventh Annual TLT Conference (2016) Iten, L., Arnold, K., Pistilli, M.: Mining real-time data to improve student success in a gateway course. In: Eleventh Annual TLT Conference (2016)
22.
go back to reference Daniel, B.: Big Data and analytics in higher education: Opportunities and challenges. Br. J. Educ. Technol. 46–5(0007–1013), 904–920 (2015)CrossRef Daniel, B.: Big Data and analytics in higher education: Opportunities and challenges. Br. J. Educ. Technol. 46–5(0007–1013), 904–920 (2015)CrossRef
23.
go back to reference Fournier, H., Sitlia, H.: The value of learning analytics to networked learning on a personal learning environment. In: LAK 2011 Proceedings of the 1st International Conference on Learning Analytics and Knowledge, pp. 104–109 (2011) Fournier, H., Sitlia, H.: The value of learning analytics to networked learning on a personal learning environment. In: LAK 2011 Proceedings of the 1st International Conference on Learning Analytics and Knowledge, pp. 104–109 (2011)
24.
go back to reference Duan, L., Da Xu, L.: Business intelligence for enterprise systems: a survey. IEEE Trans. Ind. Informat. 8(3), 679–687 (2012)CrossRef Duan, L., Da Xu, L.: Business intelligence for enterprise systems: a survey. IEEE Trans. Ind. Informat. 8(3), 679–687 (2012)CrossRef
25.
go back to reference Huang, T., Lan, L., Fang, X.: Promises and challenges of big data computing in health sciences. Big Data Res. 2(1), 2–11 (2015)CrossRef Huang, T., Lan, L., Fang, X.: Promises and challenges of big data computing in health sciences. Big Data Res. 2(1), 2–11 (2015)CrossRef
26.
go back to reference Donoho, D.: 50 years of data science. Princeton (2015) Donoho, D.: 50 years of data science. Princeton (2015)
27.
go back to reference Kennedy, J.: Swarm Intelligence, Handbook of Nature-Inspired and Innovative Computing, pp. 187–219. Kluwer Academic Publishers, Boston (2006)CrossRef Kennedy, J.: Swarm Intelligence, Handbook of Nature-Inspired and Innovative Computing, pp. 187–219. Kluwer Academic Publishers, Boston (2006)CrossRef
Metadata
Title
Big Data: An Exploration Toward the Improve of the Academic Performance in Higher Education
Authors
Leonardo Emiro Contreras Bravo
Giovanny Mauricio Tarazona Bermudez
José Ignacio Rodríguez Molano
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-93803-5_59

Premium Partner