Volume 7 Issue 2 - July 2016

  • 1. Educational data mining –applications and techniques

    Authors : Namratha Bhatt, Niteesha Sharma

    Pages : 484-488

    DOI : http://dx.doi.org/10.21172/1.72.575

    Keywords : Data Mining, Educational Data Mining, Knowledge Discovery in Database

    Abstract :

    Data mining is referred to the process of extracting hidden and useful information in large data repositories. Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon methodologies for extracting useful knowledge from data and there are several useful KDD tools to extracting the knowledge. This knowledge can be used to increase the quality of education. Educational Data Mining is concerned with developing new methods to discover knowledge from educational/academic database and can be used for decision making in educational/academic systems. This paper discusses about what is educational data mining, its broad application areas, benefits of educational data mining, challenges and barriers to successful application of educational data mining and the new practices that have to be adopted in order to successfully employ educational data mining and learning analytics for improving teaching and learning.

    Citing this Journal Article :

    Namratha Bhatt, Niteesha Sharma, "Educational data mining –applications and techniques", https://www.ijltet.org/journal_details.php?id=906&j_id=3280, Volume 7 Issue 2 - July 2016, 484-488, #ijltetorg