Intelligent virtual systems in learning [and biomedical application]

Author

Spasic, Veljko A.

Author_Institution

Center for Multidisciplinary Studies, Belgrade Univ., Serbia

Volume

2

fYear

2000

fDate

2000

Firstpage

1016

Abstract

Computer Assisted Learning (CAL) successfully merges with many new fields of research. One is the field of artificial intelligence which strongly supports development of Intelligent CAL (ICAL). We have developed our approach to intelligent tutoring implemented as ICAL. The approach can be described as intelligent computerized speaking tutor that supports learning based on experiments with virtual dynamic systems. The approach is suitable for learning the behavior of any dynamic system, especially in the field of complex, live, biomedical systems. We are now implementing this approach in the field of biomedicine. Two important systems are our virtual system GLUCOMAT-homeostatic glucose regulation in human, and ECOLOG-population growth in natural ecosystem

Keywords

biomedical education; distance learning; intelligent tutoring systems; medical expert systems; speech-based user interfaces; virtual reality; ECOLOG; GLUCOMAT; artificial intelligence; artificial speech; biomedical application; computer assisted learning; decision making module; homeostatic glucose regulation; intelligent computerized speaking tutor; intelligent tutoring; intelligent virtual systems; natural ecosystem; population growth; problem solving expertise; virtual dynamic systems; virtual laboratory; virtual objects; Artificial intelligence; Biological system modeling; Computer aided instruction; Humans; Intelligent systems; Laboratories; Learning; Mathematical model; Speech; Sugar;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-6465-1

Type

conf

DOI

10.1109/IEMBS.2000.897897

Filename

897897