Please use this identifier to cite or link to this item: https://doi.org/10.2190/VDAP-K5BX-EJX1-D8QY
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dc.titleA Bayesian tutoring system for Newtonian mechanics: Can it adapt to different learners?
dc.contributor.authorPek, P.-K.
dc.contributor.authorPoh, K.-L.
dc.date.accessioned2014-06-16T09:23:25Z
dc.date.available2014-06-16T09:23:25Z
dc.date.issued2005
dc.identifier.citationPek, P.-K.,Poh, K.-L. (2005). A Bayesian tutoring system for Newtonian mechanics: Can it adapt to different learners?. Journal of Educational Computing Research 31 (3) : 281-307. ScholarBank@NUS Repository. <a href="https://doi.org/10.2190/VDAP-K5BX-EJX1-D8QY" target="_blank">https://doi.org/10.2190/VDAP-K5BX-EJX1-D8QY</a>
dc.identifier.issn07356331
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53896
dc.description.abstractNewtonian mechanics is a core module in technology courses, but is difficult for many students to learn. Computerized tutoring can assist the teachers to provide individualized instruction. This article presents the application of decision theory to develop a tutoring system, iTutor, to select optimal tutoring actions under uncertainty of students' mastery states. The novelties of this research are: 1) the automation of student diagnosis that is made possible when tutoring alternatives and the utilities for different outcomes are incorporated to the Bayesian network; and 2) the ability of the tutoring system to select test items with difficulties that are appropriate for the students. The results from formative evaluation on iTutor indicate that it is adaptive, working in a well-structured knowledge space, and able to use the information gathered from the student's responses to dynamically modify the presentation in clearly defined ways. © 2004, Baywood Publishing Co., Inc.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2190/VDAP-K5BX-EJX1-D8QY
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.2190/VDAP-K5BX-EJX1-D8QY
dc.description.sourcetitleJournal of Educational Computing Research
dc.description.volume31
dc.description.issue3
dc.description.page281-307
dc.identifier.isiutNOT_IN_WOS
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