Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/462
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dc.contributor.authorEhimwenma, Kennedy E.en_US
dc.contributor.authorBeer, Martinen_US
dc.contributor.authorCrowther, Paulen_US
dc.date.accessioned2021-02-25T11:47:45Z-
dc.date.available2021-02-25T11:47:45Z-
dc.date.issued2014-
dc.identifier.citationEhimwenma, K., Beer, M., & Crowther, P. (2014). Pre-assessment and learning recommendation mechanism for a multi-agent system. 2014 IEEE 14th International Conference on Advanced Learning Technologies, 122-123.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12540/462-
dc.description.abstractDiagnostic assessment is a vital and effective strategy in any teaching-learning process such that it provides a pre-learning assessment of the learners state of knowing with regard to a given knowledge concept. Current intelligent learning systems still do not integrate effective techniques for evaluating prior knowledge that can be used effectively to diagnose gaps that will inhibit future learning and for making recommendations for learning and tutoring to fill them. In this paper, we present a mechanism for pre-assessment of previous learning upon which the recommendation for a new or appropriate learning level is based. Our approach is based on message passing procedure between agents in a multi-agent system. We have tested the pre-assessment technique with a prototype based on the Jason AgentSpeak language, and using learning materials from a structured query language (SQL) revision module.en_US
dc.format.extent2 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2014 IEEE 14th International Conference on Advance Learning Technologiesen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/-
dc.subject.lcshAgentsen_US
dc.subject.lcshLearningen_US
dc.subject.lcshTutoringen_US
dc.subject.lcshITSen_US
dc.subject.lcshSQLen_US
dc.subject.lcshMulti-agent Systemsen_US
dc.titlePre-assessment and learning recommendation mechanism for a multi-agent systemen_US
dc.typeConference Proceedingen_US
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)en_US
dc.relation.conference2014 IEEE 14th International Conference on Advance Learning Technologiesen_US
dc.identifier.doi10.1109/ICALT.2014.43-
wku.groupCollege of Science and Technologyen_US
dc.subject.keywordsPre-assessmenten_US
dc.subject.keywordsJason AgentSpeaken_US
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