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Proceedings Paper

Intelligent Tutor For Elementary Spanish
Author(s): Christine Poinsette; Manton Matthews
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Paper Abstract

In this paper we discuss an intelligent tutor for elementary Spanish. The system consists of an ideal student model, a model of common student misconceptions, a model of the particular student's knowledge of Spanish, an ATN parser, and a conceptual dependency framework for semantics. It has a collection of short introductory stories which are presented to the user. The system operates by presenting the story, generating questions about the story, parsing the user's reply, analyzing the reply semantically, generating a response, and finally generating a follow-up question. The responses of these questions are parsed and if syntactically correct then checked semantically. However, if there is a syntactic error the system uses the individualized model of the user and the common misconception model to try to understand what the user intended. The particular questions that are chosen are tailored to the user using the model of the Individual user.

Paper Details

Date Published: 26 March 1986
PDF: 3 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964185
Show Author Affiliations
Christine Poinsette, University of South Carolina (United States)
Manton Matthews, University of South Carolina (United States)


Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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