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Akira TAKEUCHI, Setsuko OTSUKI, "Intelligent Tutoring System--Coordinating Mixed Initiative with Strategic Dialogue by Soft Scenario--" in IEICE TRANSACTIONS on transactions,
vol. E73-E, no. 3, pp. 308-314, March 1990, doi: .
Abstract: This paper proposes a method for producing a soft scenario" that coordinates highly individualized and mixed-initiative tutoring with strategic dialogue composed of semantically consecutive topics. The soft scenario is generated in three steps. The first step generates an outline plot of the scenario at the beginning of learning. The outline is composed of parts of domain knowledge to be taught and their sequence. A knowledge representation model, called MHM, and a method to represent author's teaching strategy, called a strategy graph, are introduced and used for generating the outline plot. The second step generates detailed parts of the scenario at the time to punctuate learning. Detailed planning is composed of two portions. One portion is to modify the pre-generated outline plot if the results of learning do not agree with the forecast. The other portion decides a teaching paradigm and a topic. A method of identifying student error origins, a teaching paradigm called adaptive guiding and information about leaning situation are presented and used for detailed planning of soft scenario together with a resolution tree of a given topic and compatibility of a topic to paradigm. The third step, which is not included in this paper, creates a dialogue part of the scenario according to a dialoguing strategy by using the previous context, and accords natural language outputs with graphical outputs.
URL: https://globals.ieice.org/en_transactions/transactions/10.1587/e73-e_3_308/_p
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@ARTICLE{e73-e_3_308,
author={Akira TAKEUCHI, Setsuko OTSUKI, },
journal={IEICE TRANSACTIONS on transactions},
title={Intelligent Tutoring System--Coordinating Mixed Initiative with Strategic Dialogue by Soft Scenario--},
year={1990},
volume={E73-E},
number={3},
pages={308-314},
abstract={This paper proposes a method for producing a soft scenario" that coordinates highly individualized and mixed-initiative tutoring with strategic dialogue composed of semantically consecutive topics. The soft scenario is generated in three steps. The first step generates an outline plot of the scenario at the beginning of learning. The outline is composed of parts of domain knowledge to be taught and their sequence. A knowledge representation model, called MHM, and a method to represent author's teaching strategy, called a strategy graph, are introduced and used for generating the outline plot. The second step generates detailed parts of the scenario at the time to punctuate learning. Detailed planning is composed of two portions. One portion is to modify the pre-generated outline plot if the results of learning do not agree with the forecast. The other portion decides a teaching paradigm and a topic. A method of identifying student error origins, a teaching paradigm called adaptive guiding and information about leaning situation are presented and used for detailed planning of soft scenario together with a resolution tree of a given topic and compatibility of a topic to paradigm. The third step, which is not included in this paper, creates a dialogue part of the scenario according to a dialoguing strategy by using the previous context, and accords natural language outputs with graphical outputs.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Intelligent Tutoring System--Coordinating Mixed Initiative with Strategic Dialogue by Soft Scenario--
T2 - IEICE TRANSACTIONS on transactions
SP - 308
EP - 314
AU - Akira TAKEUCHI
AU - Setsuko OTSUKI
PY - 1990
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E73-E
IS - 3
JA - IEICE TRANSACTIONS on transactions
Y1 - March 1990
AB - This paper proposes a method for producing a soft scenario" that coordinates highly individualized and mixed-initiative tutoring with strategic dialogue composed of semantically consecutive topics. The soft scenario is generated in three steps. The first step generates an outline plot of the scenario at the beginning of learning. The outline is composed of parts of domain knowledge to be taught and their sequence. A knowledge representation model, called MHM, and a method to represent author's teaching strategy, called a strategy graph, are introduced and used for generating the outline plot. The second step generates detailed parts of the scenario at the time to punctuate learning. Detailed planning is composed of two portions. One portion is to modify the pre-generated outline plot if the results of learning do not agree with the forecast. The other portion decides a teaching paradigm and a topic. A method of identifying student error origins, a teaching paradigm called adaptive guiding and information about leaning situation are presented and used for detailed planning of soft scenario together with a resolution tree of a given topic and compatibility of a topic to paradigm. The third step, which is not included in this paper, creates a dialogue part of the scenario according to a dialoguing strategy by using the previous context, and accords natural language outputs with graphical outputs.
ER -
English
