Gout Diagnosis And Treatment Online Intelligent Tutoring System Design And Realization

Gout is a kind of uric acid metabolism abnormal syndrome with a long history. The infection frequency increases annually in our country. However, the number of the clinicians specialized in gout is in great need. As a result, misdiagnosis and failure in treating gout happen frequently. The best chances for treatment are often missed, which leads to the deterioration of the syndrome. Therefore, it is high time to pay attention to and reinforce the instruction of clinical diagnosis and treatment of gout. On the other hand, the deficiency of traditional clinical instruction becomes more and more obvious. For example, classroom instruction without real situation support causes inertia of knowledge; paper test does not help students develop practical clinical skills; fixed practice time and limited tutoring teachers hardly guarantee the effect of clinical practice. All these deficiencies have already negatively influenced the effect of the instruction.It is a worthy exploratory issue how to improve the effect of the instruction of the diagnosis and treatment of gout in medical colleges and to complement the deficiencies of traditional instruction by employing intelligent tutoring system (ITS).Based on the advanced theories such as situated cognition theory and constructivism learning theory, applying a variety of technologies, especially artificial intelligence, this thesis designs and develops a web-based intelligent tutoring system called Gout-ITS. The mission of the system is to assist the instruction of diagnosis and treatment of gout. The characteristics of the system include: constructing real world clinical diagnosis environment, the process of diagnosis and treatment of typical cases, controlling learning process by students independently, intelligent tutor providing appropriate help, and support of rich learning resources. Fortunately, the system received a good feedback in practical use.