INTELLIGENT TUTORING SYSTEMS - TRENDS ON DESIGN, DEVELOPMENT AND DEPLOYMENT
INTELLIGENT TUTORING SYSTEMS - TRENDS ON DESIGN, DEVELOPMENT AND DEPLOYMENT

Summary/Abstract: Intelligent tutoring systems (ITS) are computerized learning environments incorporating computational models in cognitive sciences, educational sciences, computational linguistics, artificial intelligence, mathematics and other areas. There is a close relationship between training smart, cognitive learning theories and design. ITS development is the marked progress of the relationship between educational research and research in educational technologies. ITS research consists of seven areas of investigation: aspects of teaching aspects of learning, assessment, cognitive science, structuring knowledge, intelligent instruments and intelligent interfaces. Design and development of an intelligent tutoring system can be summarized in four iterative stages: needs assessment, cognitive task analysis, implementing the initial instructional stage and evaluation. The principles of design and development of an intelligent tutoring system are: student competence, target structure, training, promoting a better understanding of abstract knowledge of problem solving, minimize working memory load, providing immediate feedback errors, adjusting the size of the training packages, facilitating successive approximation desired experience. ITS offers students more individualized approaches such as learning, real-time feedback, and flexibility in time and space.

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