Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/461
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dc.contributor.authorEhimwenma, Kennedy E.en_US
dc.contributor.authorBeer, Martinen_US
dc.contributor.authorCrowther, Paulen_US
dc.date.accessioned2021-02-25T11:34:53Z-
dc.date.available2021-02-25T11:34:53Z-
dc.date.issued2015-
dc.identifier.citationEhimwenma, K. E., Beer, M., & Crowther, P. (2015). Adaptive multiagent system for learning gap identification through semantic communication and classified rules learning. 7th International Conference on Computer Supported Education, 33-38.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12540/461-
dc.description.abstractWork on intelligent systems application for learning, teaching and assessment (LTA) uses different strategies and parameters to recommend learning and measure learning outcome. In this paper, we show how agents can identify gaps in human learning, then the use of a set of parameters which includes desired concept, passed and failed predicate attributes of students in the construction of an array of classified production rules which in-turn make prediction for multipath learning after pre-assessment in a multiagent system. The context in which this system is developed is structured query language (SQL) domain with concepts being represented in a hierarchical structure where a lower concept is a prerequisite to its higher concept.en_US
dc.format.extent6 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.publisherScience and Technology Publicationsen_US
dc.relation.ispartof7th International Conference on Computer Supported Educationen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.subject.lcshClassificationen_US
dc.subject.lcshSemanticsen_US
dc.subject.lcshLearningen_US
dc.subject.lcshKnowledge Representationen_US
dc.titleAdaptive multiagent system for learning gap identification through semantic communication and classified rules learningen_US
dc.typeConference Proceedingen_US
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.relation.conference7th International Conference on Computer Supported Educationen_US
dc.identifier.doi10.13140/RG.2.1.1256.3686-
wku.groupCollege of Science and Technologyen_US
dc.subject.keywordsMultiagenten_US
dc.subject.keywordsPre-assessmenten_US
dc.subject.keywordsPrerequisiteen_US
dc.subject.keywordsJason Agentspeaken_US
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