By S.P. Lajoie
This quantity would be the complaints for the ninth foreign convention on man made Intelligence in schooling (AI-ED 1999). this can be considered one of a chain of foreign meetings during this region and it really is designed to document on cutting-edge examine within the box of AI in schooling. This box is interdisciplinary and brings jointly researchers from the domain names of computing device technology, cognitive technological know-how, schooling, psychology, linguistics and engineering (to identify a few). Researchers will give a contribution manuscripts to this quantity, offering possibilities for cross-fertilization of knowledge throughout disciplines that might bring about advances and new functions within the box. New computational applied sciences can be defined that aid studying, exploration and collaboration. applied sciences can aid either the person and small teams of people who paintings collaboratively to unravel difficulties and study new fabrics. New methodologies for aiding and documenting the educational approach in either those events are being built and are defined during this quantity.
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Additional resources for Artificial Intelligence in Education
Introduction Although many studies involve meta-knowledge, the term is not always explicitly used. These studies can be found in various domains such as mathematical logic , scientific methodology , problem resolution and its teaching , educational technology [4,5], software and cognitive engineering [6, 7], artificial intelligence . Jacques Pitrat has produced an important synthesis in which he distinguishes several metaknowledge categories and proposes the following definition: «meta-knowledge is knowledge about knowledge, rather than knowledge from a specific domain such as mathematics, medicine or geology».
Agcntsheets: A medium for creating domain oriented visual languages. Computer, 28,17–25. , & Wax, T. (1997). Lifelike computer characters: The persona project at Microsoft research. In J. M. ), Software Agents (191–222). Menlo Park, CA: AAAI/MTT Press.  Huffman, S. E. (1995). Flexible instructable agents, Journal of Artificial Intelligence Research, 3, 271–324.  Lieberman, H. and Maulsby, D. (19%). Instructible agents: Software that just keeps getting better. IBM Systems Journal, 35(3&4), 539-556.
The alternative of following Masthoff and Van Hoe  is appealing: equip the specialised student modelling agents with no sophisticated inter-agent communication abilities, and provide no sophisticated higher-level manager. Instead, allow the agents to contend, perhaps with some rudimentary strength index attached to each potential signal that any agent generates, perhaps allowing the learner to choose from several preferred comments. We would thus have a set of situated student modelling agents.