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Emerging Applications of Educational Data Mining in Bulgaria: The Case of UCHA.SE

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Innovative Approaches and Solutions in Advanced Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 648))

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Abstract

As part of the EC FP7 project “AComIn: Advanced Computing for Innovation”, which focuses on transferring innovative technologies to Bulgaria, we have applied educational data mining to the most popular Bulgarian K-12 educational web portal, UCHA.SE. UCHA.SE offers interactive instructional materials—videos and practice exercises—for all K-12 subjects that can be used in schools and for self-learning. Currently it offers more than 4,150 videos in 17 subjects and more than 1,000 exercises. The goal of the project is to study how educational data mining can be used to improve the quality of the educational services and revenue generation for UCHA.SE. In this paper we describe the conducted study and outline the machine learning methods used for mining the log data of the portal as well as the problems we faced. We then discuss the obtained results and propose measures for enhancing the learning experiences offered by UCHA.SE.

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Notes

  1. 1.

    www.educationaldatamining.org.

  2. 2.

    http://www.adiss-bg.com/en/bitool.

  3. 3.

    http://www.cs.waikato.ac.nz/ml/weka/.

  4. 4.

    http://orange.biolab.si/.

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Acknowledgments

This work was partially supported by the project “AComIn: Advanced Computing for Innovation” grant 316087 funded by the European Commission in FP7 Capacity (2012–2016).

Author information

Authors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113, Sofia, Bulgaria

    Ivelina Nikolova, Gennady Agre & Galia Angelova

  2. Winston-Salem State University, 601 S. Martin Luther King Jr. Drive, Winston Salem, NC, 27110, USA

    Darina Dicheva & Christo Dichev

  3. ADISS Lab. Ltd, Sofia, Bulgaria

    Zhivko Angelov

  4. UCHA.SE, 1113, Sofia, Bulgaria

    Darin Madzharov

Authors
  1. Ivelina Nikolova
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  2. Darina Dicheva
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  3. Gennady Agre
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  4. Zhivko Angelov
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  5. Galia Angelova
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  6. Christo Dichev
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  7. Darin Madzharov
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Corresponding author

Correspondence to Ivelina Nikolova .

Editor information

Editors and Affiliations

  1. Inst. of Info. & comm. Tech., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Svetozar Margenov

  2. INst. of Info. & Comm. Tech., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Galia Angelova

  3. Inst. of Info. & Comm. Tech., Bulgarian Academy of Sciences, Sofia, Bulgaria

    Gennady Agre

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Nikolova, I. et al. (2016). Emerging Applications of Educational Data Mining in Bulgaria: The Case of UCHA.SE. In: Margenov, S., Angelova, G., Agre, G. (eds) Innovative Approaches and Solutions in Advanced Intelligent Systems . Studies in Computational Intelligence, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-32207-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-32207-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32206-3

  • Online ISBN: 978-3-319-32207-0

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