ANALYSIS OF COMPUTER-BASED LEARNING SYSTEM MODELS. SUBMODELINGFOR ADVANCED TRAINING COMPUTER SYSTEMS
Computer-based learning systems have been analyzed, main problems in the building thereof have been identified. The main problem is to build the model of student; there are a lot of such models, which, however, have little regard for student’s psychophysiological traits and features and are basically ignored when developing educational resources structure and content, making the use of computer-based learning systems less efficient. Models are proposed to be built as a semantic net, which, as opposed to other models, features visual and easy knowledge representation, availability of means for structuring thereof, and consistence with present-day understanding of human memory organization. Appearance and improvements in computers have been leading to new technologies emerging in various fields of science and practice. Despite the rapid development of computer-based learning systems at present, there are a lot of problems associated both with development and with implementation and efficiency of use of such learning systems. The main problem faced in the development of adaptive learning systems is difficulty to create such software environment that would «understand» student.