Abstract
Colleges and universities usually have problems in implementing their performance evaluation plans due to the deep involvement of subjective factors in making the plan and limited performance evaluation methods. Analysis methods based on big data could help get natural rules existing in data and improve the efficiency of analysis. By using data mining technology to analyze existing information related to teachers in higher learning institutions, the author aims to build a performance evaluation platform based on a multi-angle and multi-tech framework for analyzing teachers' information and optimizing teachers' performance evaluation plan. This intelligent platform could help reduce the influence of subjective factors in implementing performance evaluation plans, expand performance evaluation methods, monitor teaching activities and research achievements dynamically, and offer supports in decision-making while developing a more reasonable performance evaluation plan.
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