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dc.contributor.authorKalyuga, Slava
dc.date.accessioned2019-10-25T05:00:35Z
dc.date.available2019-10-25T05:00:35Z
dc.date.created2017-09-25 09:30
dc.date.issued2005
dc.identifieroai:editlib.org:p/21511
dc.identifierhttp://editlib.org/p/21511
dc.identifier.urihttp://hdl.handle.net/20.500.12424/1329640
dc.description.abstractThe paper describes a study on applying dynamic online evaluation of efficiency of learner performance for individualizing e-learning. The suggested adaptive methodology for adjusting e-learning as learners gain knowledge is based on combining rapid online measures of levels of expertise with measures of mental load involved in task performance. The rapid online assessment of expertise is based on evaluating an immediate content of memory as learners approach a task (using a rapid verification technique). Levels of mental load are measured using a subjective rating scale. The approach is applied in the domain of kinematics for tailoring instructions to levels of learner expertise in an adaptive tutor. The described efficiency-based approach will contribute to the design of adaptive environments that require optimal levels of learner mental effort and improve pedagogical quality of e-learning technologies.
dc.format.mediumapplication/pdf
dc.languageen
dc.language.isoeng
dc.publisherAssociation for the Advancement of Computing in Education (AACE)
dc.relation.ispartofhttp://editlib.org/p/21511/paper_21511.pdf
dc.rightsCopyright (c) AACE. All rights reserved.
dc.sourceProceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education in Vancouver, Canada (2005). ISBN: 978-1-880094-57-0
dc.subjecte-learning environments
dc.subjecte-learning environment
dc.titleEfficiency-Based Approach to Tailoring Instruction to Levels of Performance in Adaptive E-Learning Environments
dc.typeProceedings
ge.collectioncodeOAIDATA
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:11312775
ge.identifier.permalinkhttps://www.globethics.net/gel/11312775
ge.lastmodificationdate2017-09-25 09:30
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid149104
ge.oai.repositoryid98408
ge.oai.setnameProceedings
ge.oai.setnameE-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education
ge.oai.setspecproceedings
ge.oai.setspecproceedings:elearn
ge.oai.streamid2
ge.setnameGlobeEthicsLib
ge.setspecglobeethicslib
ge.linkhttp://editlib.org/p/21511


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