马氏正态过程在教育质量评价中的应用

Application of Markov Normal Process to Evaluation in Education Quality

本文首先利用正态分布给出状态空间的划分方法,然后将马氏正态过程离散化为马氏链,并给出一步转移矩阵的计算方法.根据不同的状态划分,给出对应的权矩阵,并使用加权平均确定出教学效率的指标,从而给出一种评价教学效率的新方法,并用实例验证其可行性及有效性.

In this paper, firstly a method of dividing state space is proposed by using normal distribution. Secondly, Markov normal process is changed into Markov chain, and a way of calculation for one step transition matrix is posed according to different divisions of state. In addition, the target of teaching efficiency is determined by applying weight - plused mean, therefore, a kind of new method of evaluating teaching effect is built, whose feasibility and effectiveness are tested through examples.