Grade prediction improved by regular and maximal association rules

Grade prediction improved by regular and maximal association rules

Journal

Subject and more

  • LCC Subject Category: Engineering, Nanotechnology
  • Publisher's keywords: Education data mining, Regular association rule, Maximal association rule, Learning management system
  • Language of fulltext: english
  • Full-text formats available: PDF
  • Time From Submission to Publication: 4

AUTHORS

    Anca Loredana Udristoiu *| University of Craiova, Department of Computers and Information Technology blvd. Decebal, n. 107,Craiova, Romania, Stefan Udristoiu| University of Craiova, Department of Computers and Information Technology blvd. Decebal, n. 107,Craiova, Romania

FULL TEXT

To download PDF files Login to your Account.

ABSTRACT

In this paper we propose a method of predicting student scholar performance using the power of regular and maximal association rules. Due to the large number of generated rules, traditional data mining algorithms can become difficult and inappropriate to educational systems. Thus, we use some methods to overcome this problem, discovering rules useful in educational process. These methods are applied to the e-learning system Moodle, for “Database” course.

About Europub

EuroPub is a comprehensive, multipurpose database covering scholarly literature, with indexed records from active, authoritative journals, and indexes articles from journals all over the world. The result is an exhaustive database that assists research in every field. Easy access to a vast database at one place, reduces searching and data reviewing time considerably and helps authors in preparing new articles to a great extent. EuroPub aims at increasing the visibility of open access scholarly journals, thereby promoting their increased usage and impact.