A Heuristic Based Class-Faculty Assigning Model with the Capabilities of Increasing Teaching Quality and Sharing Resources Effectively

This paper proposes a class-faculty assigning model to increase teaching quality and share resources effectively. To increase teaching quality, both faculty and classes are classified into different groups based on teacherspsila specialties and coursespsila attributes. The classified data are processed by a heuristic driven process and two fitness functions. To share resources effectively, the allocating rules for using the classrooms and laboratories are formulated based on the attributes of courses and availabilities of the resources. From the experimental results, there are about 90% of 168 courses assigned to the specific professional teacher. The minimum and maximum average satisfaction for all teachers is 0.9 and 0.95, respectively, where the lowest score is 0.7 and the highest score is 1. These results show that the difference of each teacherpsilas satisfaction is small; the courses can be assigned to a specific professional teacher; and teacherspsila expectations on specific teaching subjects can be satisfied as nearly as possible.