Research on E-Learning Effects Evaluation Based on Information Entropy
Although there are a large amount of platforms and tools providing distributed online learning services,it is rather difficult to identify and evaluate which solution gets the best effect.Therefore,it is definitely necessary to make assumptions about e-learning effects in distributed system which are not explicitly available.One possible choice is to assume that the better e-learning effects are,the more difficult questions web-based learners can answer.In this paper,a feature approach from the point of entropy,according to students answers to on-line tests and exams,is proposed.Results show that it is a dependable and practical method for evaluating the e-learning effects especially for multiple choice questions.
Information entropy e-learning effects decision tree discrete variable leaf node
Lan li Minjie xiao Liu rong
Software college NanChang University East Nanjing No 235,Nanchang.Jiangxi,P.R.China Information center Local Taxtaion of Nanchang Bureau No.229 Tuanjie street,Xihu district,Jiangxi pro Training center Local Taxtaion of Nanchang Bureau No.229 Tuanjie street,Xihu district,Jiangxi provin
国际会议
大连
英文
330-333
2008-07-27（万方平台首次上网日期，不代表论文的发表时间）