Educational Data Mining: A Systematic Review of the Published Literature 2006-2013

  • Muna Al-Razgan
  • Atheer S. Al-Khalifa
  • Hend S. Al-Khalifa
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 285)

Abstract

Educational Data Mining (EDM) is a multidisciplinary field that covers the area of analyzing educational data using data mining techniques. Since 2008 the first annual educational data mining conference has been established. Many articles have been published in the field of EDM due to the eager interest in improving teaching practices for both the learning process and the learners. This paper presents a systematic review of the published EDM literature during 2006-2013 based on the highly cited paper in this domain. More than three hundred papers were collected through Google scholar index, then they were classified according to the application domains, while also providing quantitative analysis of publications according to publication type, year, venue, category and tasks and contributors.

Keywords

educational data mining data mining systematic review 

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References

  1. 1.
    Baker, R. S. J. (2010). Data Mining for Education. In International Encyclopedia of Education, 7, 112-118. Google Scholar
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    Baker, R. S. J. D., & Yacef, K. (2009). The State of Educational Data Mining in 2009 : A Review and Future Visions. Journal of Educational Data Mining, 1(1), 3-17. Google Scholar
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    Cristobal Romero, & Sebastian Ventura. (2010). Educational Data Mining: A Review of the State of the Art. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, 40(6), 601–618.Google Scholar
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    Romero, C., & Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33(1), 135–146. doi:10.1016/j.eswa.2006.04.005Google Scholar
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    Romero, Cristobal, & Ventura, S. (2013). Data mining in education. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3(1), 12–27. doi:10.1002/widm.1075Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2014

Authors and Affiliations

  • Muna Al-Razgan
    • 1
  • Atheer S. Al-Khalifa
    • 2
  • Hend S. Al-Khalifa
    • 1
  1. 1.Information Technology Department, College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia
  2. 2.Computer Research InstituteKing Abdulaziz City for Science and TechnologyRiyadhSaudi Arabia

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