Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1274
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChau, KW-
dc.date.accessioned2014-12-11T08:26:15Z-
dc.date.available2014-12-11T08:26:15Z-
dc.identifier.isbn978-3-540-40772-0-
dc.identifier.urihttp://hdl.handle.net/10397/1274-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture notes in artificial intelligence ; v. 2783-
dc.rights© Springer-Verlag Berlin Heidelberg 2003. The original publication is available at http://www.springerlink.com.en_US
dc.subjectWeb-based learningen_US
dc.subjectWeb-based interactive teaching packageen_US
dc.subjectKnowledge-based system technologyen_US
dc.subjectDiagnostic assessmenten_US
dc.subjectFluid mechanicsen_US
dc.titleInternet-based interactive package for diagnostic assessment on learning of fluid mechanicsen_US
dc.typeBook Chapteren_US
dc.description.otherinformationAuthor name used in this publication: Kwokwing Chauen_US
dc.identifier.doi10.1007/b12012-
dcterms.abstractStudents in civil engineering and mechanical engineering fields may find the concepts of fluid mechanics abstract and have difficulty in grasping the real phenomena. Innovative learning methodologies are necessary to help arouse their interest. Yet, many web-based learning sites have common weaknesses including information being laid out basically in a textbook format and the lack of interaction. This paper delineates the development and implementation of a web-based interactive teaching package for diagnostic assessment on learning of fluid mechanics with an expert system approach, by employing the latest knowledge-based system technology and web production software. For each scenario of prompted answer from the learner, diagnostic assessment is performed by the system to determine the most probable shortfall or misconception of the specific learner on that particular topic. The package provides an opportunity of stimulating pedagogical environment to take care of engineering students in self-directed learning through interaction, application, and reflection.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn W Zhou, P Nicholson, B Corbitt & J Fong (Eds.), Advances in Web-based learning--ICWL 2003 : second international conference, Melbourne, Australia, August 18-20, 2003, proceedings, p. 287-296. Berlin ; New York: Springer, 2003-
dcterms.issued2003-
dc.identifier.isiWOS:000185886200027-
dc.identifier.scopus2-s2.0-21244453972-
dc.relation.ispartofbookAdvances in Web-based learning--ICWL 2003 : second international conference, Melbourne, Australia, August 18-20, 2003, proceedings-
dc.relation.conferenceInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems [IEA/AIE]-
dc.publisher.placeBerlin ; New Yorken_US
dc.identifier.rosgroupidr17950-
dc.description.ros2003-2004 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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