Application of Bayes classification technology in evaluating university teaching quality
Sun Xiao-we · Journal of Shenyang Normal University · 2014
In order to improve teaching quality and ensure that the quality of education,colleges and universities implement teaching quality evaluation are an important means.However,in most of universities now,teachers are only given a result for teaching quality valuation,without analyzing the association between teaching quality and teacher stuffs.According to the disadvantages and problems of evaluating university teaching quality,the authors put forwards a method,i.e.,applying Bayes classification technology to evaluate university teaching quality.The definition and methods of Bayes classification are discussed,and the algorithm of Naīve Bayes classifier is introduced.The detailed data classification example is also presented,and draw underlying laws with reference to the existing data on experiment.The experimental results show that Bayes classification has perfect classification capability and higher classification accuracy.It is entirely feasible to apply Bayes classification technology to evaluate teaching quality.Applying Bayesian classification on a reasonable assessment of teaching quality can overcome human factors directly affect the results of the evaluation.It can provide reasonable and scientific technical support for the policy-making of the teaching quality evaluation in future.