DocumentCode :
553057
Title :
Cloud-based strategy for evaluation and reformation of teaching plan
Author :
Jie Li ; Zhixiao Yang
Author_Institution :
Modern Educ. Technol. Center, Zhengzhou Univ., Zhengzhou, China
Volume :
1
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
90
Lastpage :
93
Abstract :
Currently, effect evaluation for teaching plan is based on certainty method, which cannot describe fuzziness and randomness in the process that students´ scores indicate their knowledge grasp extent. An uncertainty-based method is proposed to mine and forecast students´ knowledge grasp status. Cloud of knowledge acquisition status is designed to describe fuzziness and randomness of knowledge grasp extent. A cloud-based mining and forecasting algorithm is proposed for knowledge grasp extent. Positively producing a drop through the knowledge grasp cloud, a value indicating the effect of current teaching plan to new students, and its certainty degree, can be generated. Taking the course of principles and applications of microcomputer as an example, effectiveness of the proposed method in mining and forecasting of knowledge grasp extent, and in teaching plan reformation, is demonstrated.
Keywords :
data mining; educational courses; forecasting theory; fuzzy set theory; knowledge acquisition; teaching; uncertainty handling; cloud-based mining; cloud-based strategy; forecasting algorithm; fuzziness; knowledge acquisition status; knowledge grasp extent; microcomputer; randomness; teaching plan; uncertainty-based method; Education; Entropy; Helium; Knowledge acquisition; Mathematical model; Numerical models; Uncertainty; cloud model; fuzziness; knowledge acquisition status; randomness; uncertainty data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
Type :
conf
DOI :
10.1109/FSKD.2011.6019583
Filename :
6019583
Link To Document :
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