Proceedings of the 2016 International Conference on Education, E-learning and Management Technology

Student Performance Prediction Method Based on Fuzzy Cognitive Model

Authors
Zhenbing Zhao, Lei Zhang, Dashuai Hu
Corresponding Author
Zhenbing Zhao
Available Online August 2016.
DOI
https://doi.org/10.2991/iceemt-16.2016.94How to use a DOI?
Keywords
Fuzzy cognitive model, Performance prediction, Teaching reform, Implement teaching
Abstract
With the continuous development of education informationization, the data mining technology has been increasingly interlinked with education teaching; analysis of teaching results based on data mining is playing an increasingly important role in the teaching reform. In order to help students understand their own capabilities and help teachers master students' level, this paper introduced the fuzzy cognitive model, proposed a method for student performance prediction. The method collected students' theoretical examination score and experimental score, combining the cognitive diagnosis model to obtain prediction score both in theoretical examination and experiment. We can find the gap through comparing students' actual score and predicted score, so as to improve the teaching pertinence and quality. The result shows that the method can improve the accuracy of performance prediction and reduce the prediction error effectively, so as to provide strong data supports for the teaching reform.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Zhenbing Zhao
AU  - Lei Zhang
AU  - Dashuai Hu
PY  - 2016/08
DA  - 2016/08
TI  - Student Performance Prediction Method Based on Fuzzy Cognitive Model
BT  - 2016 International Conference on Education, E-learning and Management Technology
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iceemt-16.2016.94
DO  - https://doi.org/10.2991/iceemt-16.2016.94
ID  - Zhao2016/08
ER  -