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https://hdl.handle.net/2142/19674
Description
Title
Learning companion systems
Author(s)
Chan, Tak-Wai
Issue Date
1989
Doctoral Committee Chair(s)
Baskin, Arthur B., III
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Education, Mathematics
Mathematics
Artificial Intelligence
Computer Science
Language
eng
Abstract
This thesis describes a new class of Intelligent Tutoring Systems (ITS) which I call the Learning Companion Systems (LCS). In the learning environment of such a system, there are three agents involved, namely, the human student, the computer learning companion, and the computer teacher. As implied by its name, the role of the computer learning companion is to act as a learning companion for the student. To this end, the companion performs the learning task at about the same level as the student, and both the student and the companion exchange ideas while being presented the same material by the teacher. In designing the prototype of LCS, Integration-Kid, in the domain of integration, I define some protocols of learning activities among the three agents. These protocols reflect the different learning stages of the learners in the learning process as well as appropriately restrict their possible unbounded interactions. Curriculum Tree, an architecture based on the domain structure is designed as the implementation framework of Integration-Kid. Production systems are used to simulate different agents' interactions via a common blackboard. The basis of the problem solver for both the companion and the teacher is a term rewriting system. Finally, the disadvantages of my design of the prototype and LCS in general, and the future directions of LCS related research are discussed.
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