Classroom teaching quality assessment based on support vector machine
Lin Sun · Journal of Hefei University of Technology · 2010
A timely,objective and accurate assessment of classroom teaching quality is helpful for detecting the relevant problems.It is also an important precondition for introducing improved measures and implementing teaching management.Traditional assessment methods of classroom teaching quality have such disadvantages as being subjective,complex computation and weak effectiveness.Based on the analysis of various kinds of related methods,this paper puts forward a model for classroom teaching quality assessment based on support vector machine.Theoretical and experimental results show that the model is effective in assessment,and compared with other methods,it is highly accurate,quick and easy to implement.The model is suitable for making classroom teaching quality assessment in higher education.