DocumentCode :
2576316
Title :
Analysis of e-learning in data mining — A dreamed vision for empowering rural students in India
Author :
Banu, R. Karthiya ; Ravanan, R.
Author_Institution :
Dept. of Comput. Applic., Sathyabama Univ., Chennai, India
fYear :
2011
fDate :
3-5 June 2011
Firstpage :
1265
Lastpage :
1270
Abstract :
Even in the age of computers and cell phones, students in isolated areas sometimes fail to recognize the world which is literally right at their fingertips. To get the most out of online and other distance learning courses, students must be independent, self-motivated and not have a great need for the social setting of a traditional classroom. Educators say. "Not every student is an online learner," In this paper, the information which provided here can help the teachers to manage their classes better and to provide proactive feedback to the students by adopting e-learning system. Basically e-learning is a new way of providing knowledge to people to interact with web based systems which is need of current world. e-learning based systems received tremendous popularity in the world since this decade. It is common that teachers make simple statistical analysis on the results of the students at the end of an exam or a course, and this is useful for the evaluation of that course. However a more powerful use of statistics is used to modify the methodology of learning personalizing contents and methods for groups of students with similar skills. In this paper, to make a realistic personalization of learning, data mining techniques were used, which helps to manage big amounts of information mainly composed by contents, skills, tools, grades and students. In this study, we have concentrated on the application of data mining in an educational environment.
Keywords :
Internet; computer aided instruction; data mining; distance learning; educational courses; statistical analysis; India; Web based system; data mining; distance learning course; e-learning based system; educational environment; proactive feedback; rural student; statistical analysis; Computer aided instruction; Educational institutions; Electronic learning; Filtering; Text mining; Data mining; Text mining; e-learning; e-learning attributes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4577-0588-5
Type :
conf
DOI :
10.1109/ICRTIT.2011.5972285
Filename :
5972285
Link To Document :
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