Abstract
Many Intelligent Tutoring Systems (ITS) have been developed to add adaptivity and intelligence to e-learning systems. Intelligent agents are widely used in ITSs due to their characteristics such as modularity and facilitation of intelligent mechanism implementation. At the same time development of agent based ITS is complicated and methodological support is needed to enable industrial adoption of agent based ITSs. The paper describes a specific agent based ITS development methodology, named MASITS, and MIPITS system developed with the methodology. The system is created for the course “Fundamentals of Artificial Intelligence”. It offers learning materials, provides practical problems and gives feedback to the learner about his/her solution evaluating his/her knowledge. The main focus of the system is on problem solving. The problems are adapted to the learner’s knowledge level and preferences about difficulty, size and practicality of problems. The system offers three types of problems: tests, state space search problems and two person games algorithm problems.
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Lavendelis, E., Grundspenkis, J. (2011). MASITS Methodology Supported Development of Agent Based Intelligent Tutoring System MIPITS. In: Filipe, J., Fred, A., Sharp, B. (eds) Agents and Artificial Intelligence. ICAART 2010. Communications in Computer and Information Science, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19890-8_9
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DOI: https://doi.org/10.1007/978-3-642-19890-8_9
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