The framework for easy intelligent tutor programs creation
Andrey Chukhray2007, Proceedings of the …
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Abstract
In this paper the framework for intelligent tutor programs creation is described. It separates the logical part of tutor program and technical parts like user interface, database connectivity, etc. The intelligent program is built in specially developed graphical tool by means of performing primitive actions to create task model as a graph with states and conditional transitions. So it may be composed by a teacher with base programming skills.
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"In this paper an overview of using of EduSof system (shell framework for realization of intelligent tutoring system) in designing of intelligent tutor for learning of basic programming is given. The aim in realization of LesPas system, intelligent tutor realized by using EduSof shell, is to help beginners in programming in solution defining, learning language construction while using adequate examples, as well as in implementation and testing of his own programs. Intelligent tutoring system LesPas does not only give reports on syntax, semantic and conceptual user errors. It also tries to understand users point of view while designing solution of given problem, to help, to give advice and accept original ideas, i.e. self learning is possible. Intercode representation of knowledge of basic programming enables pupil to direst creation of his solution. One mental model is given, the way of thinking, for better problem solving in basic programming. Lomić, M., Jerinić, Lj. Devedžić, V. and Radović D., Knowledge Representation in Intelligent Tutoring for the First Course for Learning of Programming. In Đ Nadrljanski and D. Lipovac (Eds.) Proceedings of 7th International Conference "Informatics in Education and New Information Technologies" (7th - 8th November, Novi Sad, Yugoslavia). Printing-house of Executive Council of Vojvodina, Novi Sad, 1997, pp. 110-115. "
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Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool are outlined. A presentation of several system components, the requirements of the different components, integration of these components in ITSB tool are shown. Furthermore, implanting of requirements, cognitive principle, and common design fundamentals in the tool to ease the use of teachers. A variety of design matters, an example of building an intelligent tutoring system for teaching Java language using ITSB tool and an evaluation are presented.
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The difficulty of designing and developing intelligent tutoring systems (ITSs) has caused a recent increase in the interest of the AI researchers in realization of some new approaches in that field. Our starting point and perspective on developing of ITS shell is motivated by issues of pragmatics and usability. Considering commercially available and widely used authoring systems for traditional computer-based teaching, we try to give the next step, the next paradigm shift that is needed to enable some of the ITS advantages. The educational community became interested in taking an active role in designing educational software, also. However, the advancement of AI methods and techniques makes understanding of ITS more difficult, so that the teachers are less and less prepared to accept and understand these systems. The paper describes an object-oriented model of ITS shell in which the end-user (teacher) could make their own ITS lesson, alone. It was developed while trying to redesign a previously developed ITS called EduSof. The model enables the developing of more flexible software environment for building of the ITS, significantly increasing their reusability. The processes of computer-based tutoring and learning based on this model are much closer to humanbased instruction. The model can be easily extended to cover the needs of particular tutoring systems.
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