Abstract
This paper proposes a theoretical framework that allows goal-based agents attached to networked applications and learning environments to support users’ work and learning. Users, learners, applications and learning environments are represented by autonomous goal-based social agents who communicate, cooperate, and compete in a multi-system and multi-user distributed environment. This allows for a uniform approach to support the user while working, by adaptation to the user’s goals, preferences, level of experience and available resources; as well as teaching the user using various teaching paradigms (consrtuctivist or instructivist). In addition it allows one to take into account the user’s /learner’s motivation and affect; as well as enabling a coherent discussion of teaching strategies.
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References
Hoppe H.U. The use of multiple student modeling to parameterize group learning. In Artificial Intelligence and Education: Proceedings of AI-ED 95, AACE, (1995), 234–241.
Collins J., Greer J., Kumar, V., McCalla, G., Meagher P., Tkatch, R. Inspectable User Models for Just-In-Time Workplace Training, in User Modeling, Proceedings of UM97, Springer (1997) Wien NewYork, 327–338.
Greer, J., McCalla, G., Cooke, J., Collins, J., Kumar, V., Bishop, A., Vassileva, J. The Intelligent Helpdesk: Supporting Peer-Help in a University Course, Proceedings ITS’98 (this volume), (1998), Springer Verlag: Berlin-Heidelberg.
Nwana H. (1996) Software Agents: An Overview, Knowledge Engineering Review, 11, 1–40.
Schank, R., Abelson, R. Scripts, Plans, Goals and Understanding. Lawrence Erlbaum Assoc., (1977) Hillsdale, NJ.
Slade, S. Goal-Based Decision Making: An Interpersonal Model. Lawrence Erlbaum Associates Inc. (1994) Hillsdale, NJ.
Vassileva J. Reactive Instructional Planning to Support Interacting Teaching Strategies, in Proceedings of the 7-th World Conference on AI and Education, 334–342, (1995) AACE: Charlottesville, VA.
Vassileva, J. A task-centered approach for user modeling in a hypermedia office documentation system, User Modeling and User Adapted Interaction, (1996) 6,(2–3), 185–223.
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© 1998 Springer-Verlag Berlin Heidelberg
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Vassileva, J. (1998). Goal-Based Autonomous Social Agents: Supporting Adaptation and Teaching in a Distributed Environment. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds) Intelligent Tutoring Systems. ITS 1998. Lecture Notes in Computer Science, vol 1452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68716-5_62
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DOI: https://doi.org/10.1007/3-540-68716-5_62
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