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A Study of Different Techniques in Educational Data Mining

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Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 4))

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Abstract

Educational Data Mining (EDM) is a dawning interdisciplinary research field that concerns with the development of tools/methods to analyze enormous amount of data generated by or related to an educational framework or system. Computational approaches may be employed to explore the educational data and study the educational queries. This paper surveys the important studies/debates carried out in EDM. It talks about the various components that form a part of the EDM system, and lists the goals of EDM. Firstly, it identifies the different tasks that can be applied in educational environment. It then provides the most common tasks/problems in the educational system that have been solved through data mining (DM) techniques. It also compares the different techniques employed in terms of the merits and demerits.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India

    Nadia Anjum & Srinivasu Badugu

Authors
  1. Nadia Anjum
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  2. Srinivasu Badugu
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Corresponding author

Correspondence to Nadia Anjum .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, Osmania University, University College of Engineering, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, Osmania University, University College of Engineering, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

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Anjum, N., Badugu, S. (2020). A Study of Different Techniques in Educational Data Mining. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-030-24318-0_65

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