EDM Framework for Knowledge Discovery in Educational Domain

  • Roopam SadhEmail author
  • Rajeev KumarEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 524)


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.


EDM Knowledge discovery Institutional ranking Academic quality Academic stakeholders 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Computer and Systems SciencesJawaharlal Nehru UniversityNew DelhiIndia

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