Management of Basic Mathematic Concepts for Cognition Diagnosis

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Abstract:

Knowledge Management of Mathematics Concepts was essential in educational environment. The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modeling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. The empirical data is Basic Mathematic test of Junior College students. The object of concept advanced interpretive structural modeling (CAISM) is to provide individualized hierarchy structure of knowledge of examinees based on response patterns of tests. It shows that knowledge structures will be feasible for remedial instruction and this procedure will also useful for cognition diagnosis.

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Advanced Materials Research (Volumes 1079-1080)

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679-682

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] K. Afamasaga-Fuatai, Concept Mapping in Mathematics. New York, NY: Springer, (2009).

Google Scholar

[2] M. Russell and L. M. O'Dwyer, Behavior Research Methods, Vol. 41, pp.414-424, (2009).

Google Scholar

[3] R. Case: Educational Psychologist Vol. 28 (1993) pp.219-233.

Google Scholar

[4] D. Harnish: Journal of Education Measurement Vol. 20 (1983) pp.191-206.

Google Scholar

[5] K. Tatsuka, and M. Tatsuoka: Journal of Education Measurement Vol. 20 (1983) PP. 221-230.

Google Scholar

[6] Y. H. Lin, W. M. Bart and K. J. Huang: WPIRS Software [Manual and Software for Generalized Scoring of Item Relational Structure] (2006).

Google Scholar

[7] L. F. Blixt, and T. E. Dinero: Education and Psychological Measurement Vol. 45 (1985) pp.55-61.

Google Scholar

[8] W. M. Bart, and D. J. Krus: Educational and Psychological Measurement Vol. 33 (1973) pp.291-300.

Google Scholar

[9] L. Tierney: LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics (NY: John, Wiley & Sons, 1991).

DOI: 10.1002/9780470316818

Google Scholar

[10] T. Sato: Introduction to S-P Curve Theory Analysis and Evaluation, Tokyo, Meiji Tosho, (1985).

Google Scholar

[11] J. Scheunema, On the Use of Ordering Theory with Intelligence Test Items, Paper presented at the Annual Meeting of the American Educational Research Association, Toronto, Canada, (1978).

Google Scholar

[12] J. C. Bezdek, Pattern recognition with fuzzy objective function algorithms, Plenum Press, New York, (1981).

Google Scholar