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EDM Framework for Knowledge Discovery in Educational Domain

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Recent Trends in Communication, Computing, and Electronics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 524))

Abstract

Large volume of data are generated in educational institutions, which are of heterogeneous and unstructured nature. However, there is a dearth of effective data mining tools and techniques which can handle these voluminous academic data and support exploration of essential knowledge. Educational data mining (EDM) is an emerging research area dedicated toward development of tools and techniques for exploring data in educational settings. In this paper, we propose a trusted EDM framework that can deliver multiple academic tasks according to the need of various stakeholders. In order to deliver such purposes, our framework utilizes data mining tools and techniques over unified data collected from institution’s databases and various knowledge sources. As an example of the concept, we utilize data provided by National Institutional Ranking Framework (NIRF) for showing how same data can be mined to fulfill different needs of various stakeholders through our proposed framework.

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Author information

Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Roopam Sadh & Rajeev Kumar

Authors
  1. Roopam Sadh
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  2. Rajeev Kumar
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Corresponding authors

Correspondence to Roopam Sadh or Rajeev Kumar .

Editor information

Editors and Affiliations

  1. University of Allahabad, Allahabad, India

    Ashish Khare

  2. Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Uma Shankar Tiwary

  3. Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

  4. University of Allahabad, Allahabad, Uttar Pradesh, India

    Nar Singh

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Sadh, R., Kumar, R. (2019). EDM Framework for Knowledge Discovery in Educational Domain. In: Khare, A., Tiwary, U., Sethi, I., Singh, N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore. https://doi.org/10.1007/978-981-13-2685-1_39

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  • DOI: https://doi.org/10.1007/978-981-13-2685-1_39

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2684-4

  • Online ISBN: 978-981-13-2685-1

  • eBook Packages: EngineeringEngineering (R0)

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