Teaching evaluation based on data mining technology
Shuming Sun
Abstract
Shuming Sun
Abstract
Quality of teaching is evaluated in every semester to ensure teaching quality.Evaluation by students take up 70% of assessment result on teachers.The fact in years of application indicates that students' evaluation of teaching questionnaire has high reliability.The questionnaire reflects objectively the teaching effect.Due to the large amount of student evaluation data and the lack of classification standard,teaching effectiveness can be better classified by the application of cluster analysis SPSS software.The association rules can be used to analyze the factors influencing teaching quality,and provide feedback information for teaching managers and teachers.Then the implementation of the teaching activities can be adjusted effectively.
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Quality of teaching is evaluated in every semester to ensure teaching quality.Evaluation by students take up 70% of assessment result on teachers.The fact in years of application indicates that students' evaluation of teaching questionnaire has high reliability.The questionnaire reflects objectively the teaching effect.Due to the large amount of student evaluation data and the lack of classification standard,teaching effectiveness can be better classified by the application of cluster analysis SPSS software.The association rules can be used to analyze the factors influencing teaching quality,and provide feedback information for teaching managers and teachers.Then the implementation of the teaching activities can be adjusted effectively.
Key concepts: Reliability (semiconductor), Quality (philosophy), Computer science, Teaching method, Mathematics education, Medical education, Psychology, Medicine