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.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Baker, R. S. J. (2010). Data Mining for Education. In International Encyclopedia of Education, 7, 112-118.
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.
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.
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.2006.04.005
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.1075
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Singapore
About this paper
Cite this paper
Al-Razgan, M., Al-Khalifa, A.S., Al-Khalifa, H.S. (2014). Educational Data Mining: A Systematic Review of the Published Literature 2006-2013. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_80
Download citation
DOI: https://doi.org/10.1007/978-981-4585-18-7_80
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-4585-17-0
Online ISBN: 978-981-4585-18-7
eBook Packages: EngineeringEngineering (R0)