What are you reading most: Attention in eLearning

dc.contributor.authorCopeland, Leanaen
dc.contributor.authorGedeon, Tomen
dc.date.accessioned2026-01-01T07:41:19Z
dc.date.available2026-01-01T07:41:19Z
dc.date.issued2014en
dc.description.abstractEye tracking is useful for investigating how people read and the attention that they give to certain items. We investigated how much participants read parts of educational text when they are required to answer questions relating to it. We found that there is no difference between the normalized number of fixations observed when participants answered multiple-choice questions correctly compared to when they answered incorrectly, however, there are differences for fill-in-the-blanks questions. Different presentation formats of the text and questions have an effect on the how thoroughly paragraphs containing answers to questions are read. For formats where only text is presented the first or last paragraphs are read the most thoroughly. For formats where the questions are shown with text, the fill-in-the-blanks questions were read more thoroughly than other parts on the page. This can be used to influence how students learn material in eLearning environments.en
dc.description.statusPeer-revieweden
dc.format.extent8en
dc.identifier.scopus84938846352en
dc.identifier.urihttps://hdl.handle.net/1885/733798725
dc.language.isoenen
dc.relation.ispartofseriesThe 6th international conference on Intelligent Human Computer Interaction, IHCI 2014en
dc.rightsPublisher Copyright: © 2014 The Authors. Published by Elsevier B.V.en
dc.sourceProcedia Computer Scienceen
dc.subjectAdaptive eLearningen
dc.subjectEye gazeen
dc.subjectEye trackingen
dc.subjectPresentation formaten
dc.subjectReading Behaviouren
dc.titleWhat are you reading most: Attention in eLearningen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage74en
local.bibliographicCitation.startpage67en
local.contributor.affiliationCopeland, Leana; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationGedeon, Tom; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationu4056230xPUB474en
local.identifier.citationvolume39en
local.identifier.doi10.1016/j.procs.2014.11.011en
local.identifier.pure8ef5b2ef-8995-4250-b20f-25dc975faf7ben
local.identifier.urlhttps://www.scopus.com/pages/publications/84938846352en
local.type.statusPublisheden

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