International Journal of
Information and Education Technology

Abstract

The study of medical various institutions in Thailand found that the success for teaching and learning by means of Problem Based Learning (PBL) depends on several factors including correct attitudes and cognitive learning. Problem of teaching a small group of PBL is consistent with the results of the audit were to evaluate the group's facilitator, diverse and inaccurate. Especially, the grading of a medical case study essay reports (Clinical case summaries). To solve such problems, we proposed automatic medical case study essay scoring for PBL of medical students. SVM with Genetic Algorithms (GA-SVM) was used to assess the quality medical case study essays written by medical students in the subject matter of muscular systems and movement. The medical case study essays written in response to a question were each evaluated by facilitators and assigned a human score. In the experiment, we used raw term frequency vectors of the essays and their corresponding human scores to train the SVM while GA was used for choosing the kernel function type and its parameter values to find a proper solution to an optimization and obtain the machine scores. The experimental results show that the addition of GA-SVM technique improves scoring performance.