Discovery of Association Patterns of Curriculum Examination Results Data from Education Informatization

doi:10.3969/j.issn.1006-2475.2014.02.003

Abstract

Abstract: Facing the massive education information data, how to find and analyze those potential, valuable knowledge and educational patterns hidden in these data, better to provide scientific basis for education teaching decision-making, has become an urgent problem to be solved. This paper proposes a novel course grades data association patterns discovery and analysis method. Aiming at the characteristics of course grades data, the method gives a curriculum data model firstly, and then uses matrix-weighted patterns discovery technology to mining patterns in course grades database so as to find those data association rules hidden in the data. The teaching rules and problems in course teaching are acquired by analyzing these patterns, providing the scientific basis for teaching management, teaching reform and decision. Compared with the existing association pattern discovery methods, the method proposed in this paper is more effective and more reasonable.

Key words: education informatization, course grades, achievement analysis, matrix-weighted patterns

CLC Number:

TP301.6

YU Ru, HUANG Li-xia, HUANG Ming-xuan.

Discovery of Association Patterns of Curriculum Examination Results Data from Education Informatization

[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.02.003.

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