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dc.contributor.authorCiğdem, Harun
dc.contributor.authorÖncü, Semiral
dc.date.accessioned2024-10-03T06:44:18Z
dc.date.available2024-10-03T06:44:18Z
dc.date.issued2023en_US
dc.identifier.isbn978-166849528-5, 978-166849527-8
dc.identifier.urihttps://doi.org/10.4018/978-1-6684-9527-8.ch004
dc.identifier.urihttps://hdl.handle.net/20.500.12462/15253
dc.descriptionÖncü, Semiral (Balikesir Author)en_US
dc.description.abstractThis chapter delves into the transformative field of learning analytics, providing a comprehensive overview of models and strategies aimed at increasing student engagement in educational settings. This exploration of learning analytics has revealed a wide range of factors tailored to increase student engagement, along with the relevant data to analyze. Through a systematic examination of these various models, this chapter offers a comprehensive framework that brings all of these factors together into a single picture that illustrates the multiple approaches educators and institutions can take to optimize engagement. By recognizing the synergy between these models, educators can use data-driven insights to optimize learning environments, foster motivation, and promote successful educational outcomes. This study underscores the central role of learning analytics in shaping the future of education and equips stakeholders with the tools they need to get the job done.en_US
dc.language.isoengen_US
dc.publisherIGI Globalen_US
dc.relation.isversionof10.4018/978-1-6684-9527-8.ch004en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLearning Analyticsen_US
dc.subjectE-learningen_US
dc.subjectComputer-Aided Instructionen_US
dc.titleLeveraging learning analytics to improve student engagementen_US
dc.typearticleen_US
dc.relation.journalPerspectives on Learning Analytics for Maximizing Student Outcomesen_US
dc.contributor.departmentNecatibey Eğitim Fakültesien_US
dc.identifier.startpage64en_US
dc.identifier.endpage88en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US


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