A Method of Unstructured Information Process in Computer Teaching Evaluation System Based on Data Mining Technology

As colleges and universities in recent years, the scale of the rapid expansion and the continuing reform of the educational system to improve university teaching management and assessment of classroom teaching workload of teachers in colleges increases every year, its complexity is also rising. The computer teaching reform as the high education reform pioneer has obtained some preliminary results. But how to improve the quality of college teaching has become a common concern to workers in high education issue. Carry out the classroom assessment work is conductive to school leadership and teaching management comprehensively and accurately grasp the teaching of information, strengthen education management, improve work efficiency, saving manpower, material and financial resources to improve teaching management science and decision-making. In this paper, focus on the specific computer teaching university management, data mining technology is introduced into the field of university teaching evaluation. We improve and optimize digital feature extraction model, and by teaching evaluation data mining, on the impact of teaching quality assessment scores of students, teaching a plus, ability to control factors such as class analysis, to find scores of teachers teaching the mapping between the various properties, and uses the data to test and eventually developed based on B / S structure of secondary school teachers in computer teaching evaluation system. It provides a supportive policy decision for education departments, this is helpful to develop teaching management and improve the quality of teaching in a better way.