MATHEMATICAL MODEL FOR QUALITY ASSESSMENT OF E-LEARNING PLATFORMS

被引:0
|
作者
Pop, Cristina [1 ]
机构
[1] Acad Econ Studies, Bucharest, Romania
关键词
correlation analysis; criterion/predictor variable; e-learning platform; logistic regression; univariate analysis;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In our knowledge-based society, lifelong learning is a necessity. E-learning platforms are important tools that ensure quality learning in this context. Increasing number of users of e-learning platforms depends essentially on the quality of the educational materials, services and technologies. This article presents a mathematical model to determine the probability that a student uses an e-learning platform based on the factors (criteria) that determine the quality of the platform and the student profile. The case study presented is an application of the model and the input data, the intermediate calculations and the final results were processed using SAS (Statistical Analysis Software).
引用
收藏
页码:395 / 399
页数:5
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