Teaching Result Analysis Using Rough Sets and Data Mining

P. Ramasubramanian; K. Iyakutti; P. Thangavelu; J. Joy Winston

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arXiv · 0912.3975

Teaching Result Analysis Using Rough Sets and Data Mining

P. Ramasubramanian·K. Iyakutti·P. Thangavelu·J. Joy Winston

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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.

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P. Ramasubramanian, K. Iyakutti, P. Thangavelu, J. Joy Winston. 2009-12-20. Teaching Result Analysis Using Rough Sets and Data Mining. https://arxiv.org/abs/0912.3975

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