Teaching Quality Evaluation Based on Information Entropy

In view of importance of teaching quality evaluation, the process and results are fully concentrated on considering entirety and dynamics. A method of teaching quality evaluation calculation is proposed on the basis of information entropy and implemented by way of VB program. The no-strictness and no-accuracy results of conventional calculating methods are analyzed. Discusses how to calculate the standard difference in information entropy, how to evaluate teaching quality through similar of normal distribution, how to transform equivalently other distributions to normal distribution.The method proposed is available to get rid of the harsh request of large sample data and make the results more accurate; it has a wide range of universal that translate lognormal distribution of standard system to equal normal distribution; The character of procedures compiled are security, compatibility and transplantation, suitable for the needs of practical work.