One of the challenges of educational organization improvement is to manage talented teachers effectively, i.e. to assign the right teacher for given courses. For providing scientific performance evaluation, some facto...
详细信息
ISBN:
(纸本)9781315737515;9781138027053
One of the challenges of educational organization improvement is to manage talented teachers effectively, i.e. to assign the right teacher for given courses. For providing scientific performance evaluation, some factors related to a teacher, such as age, experience, professional, etc. usually play important roles. Therefore, it is crucial to find the underlying associations between teachers' personal information and their working behaviors. In this paper, data mining technique is employed to improve the faculty evaluation. An algorithm called quickapriori, which is based on the classic apriorialgorithm, is proposed. The results not only provide the decision rules related to personal characteristics with working performance, but also show that the obtained rules are consonant with existing experience.
One of the challenges of educational organization improvement is to manage talented teachers effectively,*** assign the right teacher for given *** providing scientific performance evaluation,some factors related to a...
详细信息
One of the challenges of educational organization improvement is to manage talented teachers effectively,*** assign the right teacher for given *** providing scientific performance evaluation,some factors related to a teacher,such as age,experience,professional,*** play important ***,it is crucial to find the underlying associations between teachers' personal information and their working *** this paper,data mining technique is employed to improve the faculty *** algorithm called quickapriori,which is based on the classic apriorialgorithm,is *** results not only provide the decision rules related to personal characteristics with working performance,but also show that the obtained rules are consonant with existing experience.
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