Teaching Result Analysis Using Rough Sets and Data Mining
Other Computer Science
2009-12-22 v1
Abstract
The development of IT and WWW provides different teaching strategies, which are chosen by teachers. Students can acquire knowledge through different learning models. The problem based learning is a popular teaching strategy for teachers. Based on the educational theory, students increase their learning motivation, which can increase learning effectiveness. In this paper, we propose a concept map for each student and staff. This map finds the result of the subjects and also recommends a sequence of remedial teaching. Here, rough set theory is used for dealing with uncertainty in the hidden pattern of data. For each competence the lower and upper approximations are calculated based on the brainstorm maps.
Cite
@article{arxiv.0912.3975,
title = {Teaching Result Analysis Using Rough Sets and Data Mining},
author = {P. Ramasubramanian and K. Iyakutti and P. Thangavelu and J. Joy Winston},
journal= {arXiv preprint arXiv:0912.3975},
year = {2009}
}