Toward a theory of curriculum for use in designing intelligent instructional systems
Learning Issues for Intelligent Tutoring Systems
RMM: a methodology for structured hypermedia design
Communications of the ACM
Hypermedia and cognition: designing for comprehension
Communications of the ACM
WHAT: Web-Based Haskell Adaptive Tutor
AIMSA '02 Proceedings of the 10th International Conference on Artificial Intelligence: Methodology, Systems, and Applications
MITS: a mixed-initiative intelligent tutoring system for sudoku
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Taking Social Networks to the Next Level
International Journal of Distributed Systems and Technologies
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Web-based intelligent tutoring systems try to fill the gap between human teachers and printed textbooks as distance learning aids. Actually, intelligent tutoring systems research is concerned with the development of computer tools that show adaptive capabilities in the domain of tutoring, where the student's progress is autonomously monitored and guided according to some tutoring strategy. This paper provides details on the analysis, design and implementation of such a system. STIA (Sistema Tutor en Internet de Ajedrez) is a fully implemented Web-based tool developed to provide adaptive guidance and help while learning chess basics. In STIA the task of the tutor is to guide the student efficiently through the course material, according to the tutoring strategy defined by the course authors. This is achieved in two ways. First, it imposes limits on the portion of course material the students can access. This prevents them from getting lost in a flood of information. Second, the tutor evaluates each student's knowledge through a set of problems, and according to result recommends reviewing theory, solving more problems or advancing through the course.