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dc.contributor.authorAmro, Ahmed Walid
dc.contributor.authorYamin, Muhammad Mudassar
dc.contributor.authorKnox, Benjamin James
dc.date.accessioned2021-02-25T14:22:44Z
dc.date.available2021-02-25T14:22:44Z
dc.date.created2020-11-04T10:33:46Z
dc.date.issued2020
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2020, 12425 165-175.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/2730490
dc.description.abstractTechnology dependent, digitally innate students are joining academia. Consequently, traditional pedagogical techniques for achieving desired learning outcomes are not universally sufficient. Digital clickers were introduced in the early 2000 for engaging students and maintaining their attention span during lectures. However, some studies are critical about their usage as they consume valuable time during the class which can result in further compromises concerning achieving learning outcomes. This study aimed to investigate the application of an online Audience Response System (ARCH) a.k.a “clicker” in different academic settings. To achieve this, the researchers conducted an empirical study that identified the effectiveness of using an online ARCH in multiple academic use cases. The use cases consisted of audiences with varying academic backgrounds and levels of academic achievement. All the presented topics were related to research in cybersecurity. The study identified that clickers can be a useful tool for audience engagement in a complex topic like cybersecurity.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleApplications of an Online Audience Response System in Different Academic Settings: An Empirical Studyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber165-175en_US
dc.source.volume12425en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-030-60128-7_13
dc.identifier.cristin1844799
dc.description.localcode"This is a post-peer-review, pre-copyedit version of an article.en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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