Applied Research Of Decision Tree Technology In The Laboratory Evaluation

With the enlargement of college enrollment,the number of students in institutions of higher learning have increased dramatically,which becomes a great challenge of teaching management. School leaders took great importance to improve the quality of teaching and evaluated the teaching management of the school many times. They hoped the reform of education can be promoted and teaching quality can be improved.Laboratory evaluation is a major component of educational evaluation,which purpose is "Promoting Construction". It's an indispensable part of the competent department of laboratory management. Laboratory evaluation, which based on social and the college experimental teaching needs,plays an important role in developing training target of each department,education reform and scientific research. There is still a gap between the laboratory teaching evaluation of Bin Zhou College and those of other institutions.The decision tree data mining technology was applied to analyze the student test score and test teams in this paper. We hope the conclusion be the important experimental basis to strengthen the faculty and deepen reform of education. The result will be helpful to improve the quality of experimental teaching, teaching reform, the laboratory management level and work efficiency.The decision tree classification algorithm was performed through ID3 algorithm to analyze the experimental data of decision-making teachers, find the influential factors of Teaching Quality and the main factors which affect the evaluation of teacher and student.