Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach

In this article, we develop and evaluate three Dynamic Bayesian Network (DBN) models for assessing temporally variable learner scientific inquiry skills (Hypothesis Generation and Variable Identification) in INQPRO learning environment. Empirical studies were carried out to examine the matching accu...

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Main Authors: Ting, Choo-Yee, Mohammad Reza Beik, Zadeh
Format: Conference or Workshop Item
Published: 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3131/
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author Ting, Choo-Yee
Mohammad Reza Beik, Zadeh
author_facet Ting, Choo-Yee
Mohammad Reza Beik, Zadeh
author_sort Ting, Choo-Yee
building MMU Institutional Repository
collection Online Access
description In this article, we develop and evaluate three Dynamic Bayesian Network (DBN) models for assessing temporally variable learner scientific inquiry skills (Hypothesis Generation and Variable Identification) in INQPRO learning environment. Empirical studies were carried out to examine the matching accuracies and identify the models' drawbacks. We demonstrate how the insights gained from a preceding model have eventually led to the improvement of subsequent models. In this study, the entire evaluation process involved 6 domain experts and 61 human learners. The matching accuracies of the models are measured by (1) comparing with the results gathered from the pretest, posttest, and learner's self-rating scores; and (2) comments given by domain experts based on learners' interaction logs and the graph patterns exhibited by the models.
first_indexed 2025-11-14T18:09:30Z
format Conference or Workshop Item
id mmu-3131
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:09:30Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling mmu-31312011-10-04T00:58:51Z http://shdl.mmu.edu.my/3131/ Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach Ting, Choo-Yee Mohammad Reza Beik, Zadeh T Technology (General) QA75.5-76.95 Electronic computers. Computer science In this article, we develop and evaluate three Dynamic Bayesian Network (DBN) models for assessing temporally variable learner scientific inquiry skills (Hypothesis Generation and Variable Identification) in INQPRO learning environment. Empirical studies were carried out to examine the matching accuracies and identify the models' drawbacks. We demonstrate how the insights gained from a preceding model have eventually led to the improvement of subsequent models. In this study, the entire evaluation process involved 6 domain experts and 61 human learners. The matching accuracies of the models are measured by (1) comparing with the results gathered from the pretest, posttest, and learner's self-rating scores; and (2) comments given by domain experts based on learners' interaction logs and the graph patterns exhibited by the models. 2007-06 Conference or Workshop Item NonPeerReviewed Ting, Choo-Yee and Mohammad Reza Beik, Zadeh (2007) Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach. In: 11th International Conference on User Modeling, 25-29 JUN 2007 , Corfu, GREECE. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=P134MAkCH31Bc5dEbLl&page=115&doc=1145
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Ting, Choo-Yee
Mohammad Reza Beik, Zadeh
Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach
title Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach
title_full Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach
title_fullStr Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach
title_full_unstemmed Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach
title_short Assessing learner's Scientific Inquiry Skills across time: A Dynamic Bayesian Network approach
title_sort assessing learner's scientific inquiry skills across time: a dynamic bayesian network approach
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3131/
http://shdl.mmu.edu.my/3131/