A Heuristic Based Class-Faculty Assigning Model with the Capabilities of Increasing Teaching Quality and Sharing Resources Effectively
Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.488
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 teachers’ specialties and courses’ 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 teacher’s satisfaction is small; the courses can be assigned to a specific professional teacher; and teachers’ expectations on specific teaching subjects can be satisfied as nearly as possible.
Class-faculty assignment, heuristic driven process, teaching quality
Chin-Ming Hsu, Hui-Mei Chao, "A Heuristic Based Class-Faculty Assigning Model with the Capabilities of Increasing Teaching Quality and Sharing Resources Effectively", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 740-744, doi:10.1109/CSIE.2009.488