Conceptual change modeling using Dynamic Bayesian network

Modeling the process of conceptual change in scientific inquiry learning environments involves uncertainty inherent in inferring learner's mental models. INQPRO, an intelligent scientific inquiry exploratory learning environment, refers to a probabilistic learner model aims at modeling conceptu...

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Main Authors: Ting, Choo Yee, Chong, Yen Kuan
Format: Book Section
Language:English
Published: Springer Berlin Heidelberg 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/2063/
http://shdl.mmu.edu.my/2063/1/Conceptual%20change%20modeling%20using%20Dynamic%20Bayesian%20network.pdf
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author Ting, Choo Yee
Chong, Yen Kuan
author_facet Ting, Choo Yee
Chong, Yen Kuan
author_sort Ting, Choo Yee
building MMU Institutional Repository
collection Online Access
description Modeling the process of conceptual change in scientific inquiry learning environments involves uncertainty inherent in inferring learner's mental models. INQPRO, an intelligent scientific inquiry exploratory learning environment, refers to a probabilistic learner model aims at modeling conceptual change through the interactions with INQPRO Graphical User Interface (GUI) and Intelligent Pedagogical Agent. In this article, we first discuss how conceptual change framework can be integrated into scientific inquiry learning environment. Secondly, we discuss the identification and categorization of conceptual change and learner properties to be modeled. Thirdly, how to construct the INQPRO learner model that employs Dynamic Bayesian networks (DBN) to compute a temporal probabilistic assessment of learner's properties that vary over time: awareness of current belief, cognitive conflict, conflict resolution, and ability to accommodate to new knowledge. Towards the end of this article, a sample assessment of the proposed DBN is illustrated through a revisit of the INQPRO Scenario interface.
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spelling mmu-20632020-12-29T18:41:22Z http://shdl.mmu.edu.my/2063/ Conceptual change modeling using Dynamic Bayesian network Ting, Choo Yee Chong, Yen Kuan QA75.5-76.95 Electronic computers. Computer science Modeling the process of conceptual change in scientific inquiry learning environments involves uncertainty inherent in inferring learner's mental models. INQPRO, an intelligent scientific inquiry exploratory learning environment, refers to a probabilistic learner model aims at modeling conceptual change through the interactions with INQPRO Graphical User Interface (GUI) and Intelligent Pedagogical Agent. In this article, we first discuss how conceptual change framework can be integrated into scientific inquiry learning environment. Secondly, we discuss the identification and categorization of conceptual change and learner properties to be modeled. Thirdly, how to construct the INQPRO learner model that employs Dynamic Bayesian networks (DBN) to compute a temporal probabilistic assessment of learner's properties that vary over time: awareness of current belief, cognitive conflict, conflict resolution, and ability to accommodate to new knowledge. Towards the end of this article, a sample assessment of the proposed DBN is illustrated through a revisit of the INQPRO Scenario interface. Springer Berlin Heidelberg 2006 Book Section NonPeerReviewed text en http://shdl.mmu.edu.my/2063/1/Conceptual%20change%20modeling%20using%20Dynamic%20Bayesian%20network.pdf Ting, Choo Yee and Chong, Yen Kuan (2006) Conceptual change modeling using Dynamic Bayesian network. In: Intelligent Tutoring Systems. Lecture Notes in Computer Science, 4053 . Springer Berlin Heidelberg, pp. 95-103. ISBN 978-3-540-35160-3 10.1007/11774303_10 10.1007/11774303_10 10.1007/11774303_10
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Ting, Choo Yee
Chong, Yen Kuan
Conceptual change modeling using Dynamic Bayesian network
title Conceptual change modeling using Dynamic Bayesian network
title_full Conceptual change modeling using Dynamic Bayesian network
title_fullStr Conceptual change modeling using Dynamic Bayesian network
title_full_unstemmed Conceptual change modeling using Dynamic Bayesian network
title_short Conceptual change modeling using Dynamic Bayesian network
title_sort conceptual change modeling using dynamic bayesian network
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2063/
http://shdl.mmu.edu.my/2063/
http://shdl.mmu.edu.my/2063/1/Conceptual%20change%20modeling%20using%20Dynamic%20Bayesian%20network.pdf