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ISSN: 2643-6744

Current Trends in Computer Sciences & Applications

Review Article(ISSN: 2643-6744)

Tendency of Educational Data Mining in Digital Learning Platform

Volume 2 - Issue 1

Gajendra Sharma*

  • Author Information Open or Close
    • Department of Computer Science & Engineering, Kathmandu University (KU), Nepal

    *Corresponding author: Gajendra Sharma, Department of Computer Science & Engineering, Kathmandu University (KU), Nepal

Received: October 24, 2020;   Published: November 02, 2020

DOI: 10.32474/CTCSA.2020.02.000127

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With the advancement of technology learning process have been more reachable and interactive like never before. Till the date many online learning platforms have been introduced. The platforms with constant improvisation in teaching-learning technique have been able to sustain. For improvisation there need constant analysis of the data and implement the suggested changes are required. The analysis of the educational data is using data mining techniques is called Educational data mining. EDM helps to discover the patterns of learning behavior hidden in the data sets. This research paper aimed to do a review of different other papers which were based on EDM in online learning environment. It has been seen that most paper used classification and clustering as their data mining technique. K-means clustering has been used as cluster analysis technique for exploring the dataset. Similarly, Weka tools had been found to be used as data mining software. Future recommendations in EDM are presented in terms of future scope of the researches related to it to make the researches more trustworthy.

Keywords: Data mining; Educational data mining; Online learning; E-learning; Classification; Clustering; K-Means clustering

Abstract| Introduction| Literature Review| Research Problem| Findings from Literature Review| Conclusion| Future Scope and Recommendation| References|