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The International Conference on Artificial Intelligence and Computer Vision

AICV 2020: Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) pp 92–102Cite as

Mining in Educational Data: Review and Future Directions

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1153))

Abstract

One of the developing fields of the present times is educational data mining that pertains to developing methods that help in examining various kinds of data obtained from the educational field. A vital part is played by data mining in the education field, particularly when behavior is being assessed in an online learning setting. This is because data mining is capable of analyzing and identifying the hidden information regarding the data itself, which is very difficult and takes up a lot of time if performed manually. This review has the objective of examining the way data mining was handled by researchers in the past and the most recent trends on data mining in educational research, as well as to evaluate the likelihood of employing machine learning in the field of education. The various limitations inherent in the current research are examined and recommendations are made for future research.

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Author information

Authors and Affiliations

  1. Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, UAE

    Said A. Salloum & Ashraf Elnagar

  2. Faculty of Engineering and IT, The British University in Dubai, Dubai, UAE

    Said A. Salloum & Khaled Shaalan

  3. Faculty of Business, University of Jordan, Amman, Jordan

    Muhammad Alshurideh

  4. Management Department, University of Sharjah, Sharjah, UAE

    Muhammad Alshurideh

  5. Department of Computer Science, University of Sharjah, Sharjah, UAE

    Ashraf Elnagar

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  1. Said A. Salloum
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  2. Muhammad Alshurideh
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  3. Ashraf Elnagar
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  4. Khaled Shaalan
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Corresponding author

Correspondence to Said A. Salloum .

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Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Banha, Egypt

    Ahmad Taher Azar

  3. Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Jalisco, Mexico

    Diego Oliva

  5. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Salloum, S.A., Alshurideh, M., Elnagar, A., Shaalan, K. (2020). Mining in Educational Data: Review and Future Directions. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_9

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