A decision-theoretic approach to scientific inquiry exploratory learning environment


Ting, Choo Yee and Beik Zadeh, M. Reza and Chong, Yen Kuan (2006) A decision-theoretic approach to scientific inquiry exploratory learning environment. In: Intelligent Tutoring Systems. Lecture Notes in Computer Science, 4053 . Springer Berlin Heidelberg, pp. 85-94. ISBN 978-3-540-35160-3

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Although existing computer-based scientific inquiry learning environments have proven to benefit learners, effectively inferring and intervening within these learning environments remain an open issue. To tackle this challenge, this article will firstly address the issue on learning model by proposing Scientific Inquiry Exploratory Learning Model. Secondly, aiming at effective modeling and intervening under uncertainty in modeling learner's exploratory behaviours, decision-theoretic approach is integrated into INQPRO. This approach allows INQPRO to compute a probabilistic assessment on learner's scientific inquiry skills (Hypothesis Generation and Variables Identification), domain knowledge, and subsequently provides tailored hints. This article ends with an investigation on the accuracy of proposed learner model by performing a model walk-through with human expert and field trial evaluation with a total number of 30 human students.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 10 Aug 2011 07:04
Last Modified: 29 Dec 2020 18:40
URII: http://shdl.mmu.edu.my/id/eprint/2021


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