Publication Type:

Conference Paper

Source:

2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), IEEE, Chennai, India (2016)

Keywords:

Association Rule Mining, courseware, Courseware Construction, Data mining, Differential Evolution, EA, educational data mining, evolutionary algorithm based rule generation, Evolutionary algorithms, evolutionary computation, personalized courseware construction

Abstract:

Evolutionary Computing for Educational Data Mining is a research field which with the applications of Evolutionary Algorithms (EAs) to mine, analyze and modify educational data. This paper presents the most relevant studies conducted in this research area. The paper also describes different EAs used for implementing different data mining techniques. It goes on to list how these algorithms are utilized by different educational users to carry out different tasks. Finally, a new combination of EA, Educational User and data mining technique is suggested for implementation. As a part of that a personalized courseware construction technique is proposed and a sample courseware is constructed using the proposed technique. The details about the rule construction and the data mining process involved in the courseware construction techniques are also explained.

Cite this Research Publication

K. Sreenath and Dr. Jeyakumar G., “Evolutionary algorithm based rule(s) generation for personalized courseware construction in educational data mining”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India, 2016.

207
PROGRAMS
OFFERED
6
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS