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Conference Paper: Use of expert systems in computer-assisted learning

TitleUse of expert systems in computer-assisted learning
Authors
Issue Date1991
Citation
Artificial Intelligence And Civil Engineering, 1991, p. 285-291 How to Cite?
AbstractIn recent years, the use of artificial intelligence in education and training has increased rapidly. Computer-assisted learning (CAL) which makes use of expert systems can help improve students' thinking and problem-solving skills. This paper reports on an attempt to build an Intelligent Computer Assisted Instruction (ICAI) system to stimulate the interest of undergraduate students and to familiarise them with claims problems in civil engineering (which is often regarded as a complicated subject). The students are expected to acquire claims analysis skills after absorbing the experience and knowledge of practical engineers built into the ICAI model. Existing systems and models are briefly studied and a model for use in Hong Kong developed. The paper concludes with a presentation of the students' reaction to the system which is currently under test.
Persistent Identifierhttp://hdl.handle.net/10722/169116

 

DC FieldValueLanguage
dc.contributor.authorRowlinson, Sen_US
dc.contributor.authorTo, Ten_US
dc.contributor.authorTsang, AKen_US
dc.date.accessioned2012-10-08T03:44:41Z-
dc.date.available2012-10-08T03:44:41Z-
dc.date.issued1991en_US
dc.identifier.citationArtificial Intelligence And Civil Engineering, 1991, p. 285-291en_US
dc.identifier.urihttp://hdl.handle.net/10722/169116-
dc.description.abstractIn recent years, the use of artificial intelligence in education and training has increased rapidly. Computer-assisted learning (CAL) which makes use of expert systems can help improve students' thinking and problem-solving skills. This paper reports on an attempt to build an Intelligent Computer Assisted Instruction (ICAI) system to stimulate the interest of undergraduate students and to familiarise them with claims problems in civil engineering (which is often regarded as a complicated subject). The students are expected to acquire claims analysis skills after absorbing the experience and knowledge of practical engineers built into the ICAI model. Existing systems and models are briefly studied and a model for use in Hong Kong developed. The paper concludes with a presentation of the students' reaction to the system which is currently under test.en_US
dc.languageengen_US
dc.relation.ispartofArtificial Intelligence and Civil Engineeringen_US
dc.titleUse of expert systems in computer-assisted learningen_US
dc.typeConference_Paperen_US
dc.identifier.emailRowlinson, S:hrecsmr@hkucc.hku.hken_US
dc.identifier.authorityRowlinson, S=rp01020en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0025889819en_US
dc.identifier.spage285en_US
dc.identifier.epage291en_US
dc.identifier.scopusauthoridRowlinson, S=7003696228en_US
dc.identifier.scopusauthoridTo, T=35861811300en_US
dc.identifier.scopusauthoridTsang, AK=7006979270en_US

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