DocumentCode :
539475
Title :
Research on Capability-Based Self-Learning Evaluation Strategy
Author :
Qiu, Bingcheng ; Lu, Dingzhu ; Li, Zhongxin ; Deng, Fangfang
Author_Institution :
Dept. of Comput. Technol., Guangdong Polytech. Inst., Guangzhou, China
Volume :
1
fYear :
2010
fDate :
19-20 Dec. 2010
Firstpage :
98
Lastpage :
100
Abstract :
The self-learning is always considered as a kind of ability, but how to evaluate this capability is a hard work. In this paper, an evaluation model, including evaluation criteria and an evaluation algorithm, is presented, it could make a fair-minded, objective, and comprehensive evaluation on self-learning ability for self-learners. The judgment factor λ and the normalization are introduced to our algorithm.
Keywords :
unsupervised learning; capability-based self-learning evaluation strategy; evaluation algorithm; evaluation criteria; judgment factor; Computational modeling; Computers; Cost accounting; Education; Gaussian distribution; Learning systems; Standards; evaluation strateg; normalization; self-learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering (WCSE), 2010 Second World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9287-9
Type :
conf
DOI :
10.1109/WCSE.2010.25
Filename :
5718271
Link To Document :
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