DocumentCode :
3307178
Title :
A Model of Learning Climate Formation Based on Small-World Network
Author :
Li, Zhou ; Zhang, Yuan-Biao
Author_Institution :
Math. Modeling Innovative Practice Base, Jinan Univ., Zhuhai, China
fYear :
2010
fDate :
24-25 April 2010
Firstpage :
175
Lastpage :
178
Abstract :
Forming excellent learning climate is vital both for a school and for students. Traditional researches tend to analyze the problem in theory so that we can hardly find papers with precise mathematical models. In this paper, we construct a small-world network to represent the personal relation network among school students, and use all the students’ learning attitudes to represent the school’s learning climate. Based on it we build an learning climate formation model with considering students’ consistent degree, the friendly degree among students and the influences of teachers and parents. During the simulation, we analyze the effect of different impact factor on learning climate formation. It proves teachers and parents have a significant impact on the formation of learning climate. They should take appropriate measures to help students form favorable learning habits.
Keywords :
Acceleration; Analytical models; Complex networks; Computer science; Educational institutions; Machine learning; Machine vision; Man machine systems; Mathematical model; Packaging; influences of teachers and parents; learning attitude; learning climate formation model; small-world network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
Type :
conf
DOI :
10.1109/MVHI.2010.126
Filename :
5532698
Link To Document :
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