Describes an approach to an intelligent tutorial system called CARDIOLOG, specially developed to help in teaching electrocardiogram (ECG) interpretation to medical students. Although the system can be used as a self-learning tool, one of its main characteristics is its adequacy for a classroom environment t contains a professor module and many student modules. Medical students and professors, physicians and people interested in the subject are able to form a solid knowledge base or complement their studies with CARDIOLOG. The activities rely on user-friendly interfaces, based on a question/answer model, with the possibility of consulting reference information (if enabled by the professor). Analyses of students' performance, reports and knowledge base maintenance tools are also available in CARDIOLOG. CARDIOLOG was implemented using artificial intelligence technologies and developed using object methodology, a client/server structure and a 32-bit Windows platform.
[1]
D. Fontaine,et al.
An intelligent Computer-Assisted Instruction system for clinical case teaching.
,
1994,
Methods of information in medicine.
[2]
Edward H. Shortliffe,et al.
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
,
1984
.
[3]
William J. Clancey,et al.
Knowledge-based tutoring: the GUIDON program
,
1987
.
[4]
Tom Routen,et al.
Intelligent Tutoring Systems
,
1996,
Lecture Notes in Computer Science.
[5]
L. Shulman,et al.
Medical problem-solving.
,
2014,
Journal of medical education.
[6]
Masoud Yazdani,et al.
Intelligent tutoring systems survey
,
1989,
Artificial Intelligence Review.