Research On The Students' Evaluation Of Teaching And Teaching Quality Analysis Systems Based On Data Mining

The thesis presents a new method for students' evaluation results analysis. According to the requirements of evaluation data analysis, using the ID3 algorithm of decision tree in the data mining technology, a teaching evaluation analysis model is build based on the attribute data. To study the underlying factors which impact the teaching level of classroom, a classroom quality classification decision tree is proposed. The students' evaluation results analysis system is developed by VB program language and SQL Server database. To analysis and mining the students' evaluation results data with the system, the classroom teaching quality factors can be found more clearly. The result can help solving problems in teaching and improving teaching quality for teaching management department and teachers.From mining results can be seen, the teacher's "teaching attitude" is a key factor, teaching attitude affects the entire class teaching quality evaluation degree students. In addition, for the petroleum engineering institute, influence factors order is titles and teaching methods; For humanities college, affecting the quality of classroom teaching factors followed for teaching methods, teaching effectiveness, the last is titles and sexual factors.According to above mining results, targeted affecting factors on the quality of the classroom teaching of teachers training improvement. First in peacetime will strengthen teacher's thought on education, to enhance teachers'passion for work and strong responsibility, Secondly to undertake professional stronger professional teachers, actively encourage its further study, training, strive for progress in the professional level enhanced to high title level efforts. To undertake such public course of humanities teacher usually focus is on strengthening the teaching method and the teaching effect increased.