INTELLIGENT TUTORING SYSTEMS - TRENDS ON DESIGN, DEVELOPMENT AND DEPLOYMENT

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. Internet of Things (IoT) is the next phase of educational applications of technology and innovation in the next decade. The next generation of e-Learning, e-Learning 3.0, foresees at least four key factors: distributed computerization, expansion of smart mobile technology, intelligent collaborative filtering, 3D visualization and interaction. E-Learning 3.0 will promote collaborative learning, will be closer to learning "anytime, anywhere", will provide smart solutions to search the web, document management and content organization. ITS use areas such as natural language processing, machine learning, planning, multi-agent systems, ontologies, semantic web and social computing and emotionally. ITS have expanded in many areas critical and complex, and the results were far-reaching. ITS have cemented a place in formal education and these systems have found their place within corporate training and organizational learning.