计算机应用与软件Issue(12)：116-119,4.DOI:10.3969/j.issn.1000-386x.2014.12.027
基于信息不对称的研究生学习质量甄别模型
SCREENING MODEL FOR GRADUATE STUDIES QUALITY BASED ON INFORMATION ASYMMETRY
摘要
Abstract
Based on the analysis of asymmetric information problems in screening process of graduate studies quality, and in combination with incentive theory, we construct a multi-stage adverse selection model to seek the solutions in accordance with the stage.By analysing graduate students’ course grades in different stages and screening their authenticity, we expatiate on the consequence that the award effects for the students with low-level learning scores will be reduced by pretending high-level of learning scores.By using Bayesian formula and great value theorem, a mathematical model is built up to solve all questions above.The results show that on the condition of asymmetric information, students could be encouraged to do best for showing their true level of learning by reasonable award and compensation designed in advance, and the university’ s reward effects are to be improved as well.关键词
信息不对称/信息甄别/奖励水平/学习质量Key words
Asymmetric information/Information screening/Award levels/Quality of learning分类
信息技术与安全科学引用本文复制引用
赵东升,骆轶姝,周建亨,乐嘉锦..基于信息不对称的研究生学习质量甄别模型[J].计算机应用与软件,2014,(12):116-119,4.基金项目
上海市高等教育学会项目（ ZCGJ08－12）。 （）
