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Exploring Mooc Learners' Behavioural Patterns Considering Age, Gender and Number of Course Enrolments: Insights for Improving Educational Opportunities

dc.contributor.author Cagiltay, Nergiz ercil
dc.contributor.author Toker, Sacip
dc.contributor.author Cagiltay, Kursat
dc.contributor.authorID 113411 tr_TR
dc.contributor.other 06.09. Yazılım Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2024-05-30T13:06:55Z
dc.date.accessioned 2025-09-18T16:07:38Z
dc.date.available 2024-05-30T13:06:55Z
dc.date.available 2025-09-18T16:07:38Z
dc.date.issued 2024
dc.description Cagiltay, Kursat/0000-0003-1973-7056; Cagiltay, Nergiz Ercil/0000-0003-0875-9276; Toker, Sacip/0000-0003-1437-6642 en_US
dc.description.abstract Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high -quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were analysed. The results show that MOOCs are more attractive to the elderly, male, and highly educated groups of learners. Learners' performance improves as they register for more courses and improve their skills and experiences on MOOCs. The findings suggest that, in the long run, learners' adaptation to MOOCs will significantly improve the potential benefits of the MOOCs. Hence, MOOCs should continue by better understanding their learners and providing alternative instructional designs by considering different learner groups. MOOC providers' decision -makers may take these findings into account when making operational decisions. en_US
dc.identifier.citation Çağıltay, Nergiz Ercil; Toker, Sacip; Çağıltay, Kürşat (2024). "Exploring MOOC Learners’ Behavioural Patterns Considering Age, Gender and Number of Course Enrolments: Insights for Improving Educational Opportunities", Open Praxis, Vol. 16, No. 1, pp. 70-81. en_US
dc.identifier.doi 10.55982/openpraxis.16.1.543
dc.identifier.issn 2304-070X
dc.identifier.scopus 2-s2.0-85188816659
dc.identifier.uri https://doi.org/10.55982/openpraxis.16.1.543
dc.identifier.uri https://hdl.handle.net/20.500.12416/14829
dc.language.iso en en_US
dc.publisher int Council Open & Distance Education en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Social Implications en_US
dc.subject Data Science Applications In Education en_US
dc.subject Lifelong Learning en_US
dc.subject Mooc en_US
dc.subject Mitx en_US
dc.title Exploring Mooc Learners' Behavioural Patterns Considering Age, Gender and Number of Course Enrolments: Insights for Improving Educational Opportunities en_US
dc.title Exploring MOOC Learners’ Behavioural Patterns Considering Age, Gender and Number of Course Enrolments: Insights for Improving Educational Opportunities tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Cagiltay, Kursat/0000-0003-1973-7056
gdc.author.id Cagiltay, Nergiz Ercil/0000-0003-0875-9276
gdc.author.id Toker, Sacip/0000-0003-1437-6642
gdc.author.institutional Çağıltay, Nergiz
gdc.author.scopusid 16237826800
gdc.author.scopusid 56608927500
gdc.author.scopusid 16237824500
gdc.author.wosid Cagiltay, Nergiz/O-3082-2019
gdc.author.wosid Toker, Sacip/I-8622-2019
gdc.author.wosid Cagiltay, Kursat/D-1548-2010
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Cagiltay, Nergiz ercil] Cankaya Univ, Software Engn Dept, Ankara, Turkiye; [Toker, Sacip] Atilim Univ, Informat Syst Engn Dept, Ankara, Turkiye; [Cagiltay, Kursat] Sabanci Univ, Fac Engn & Nat Sci, Istanbul, Turkiye; [Cagiltay, Kursat] Azerbaijan State Univ Econ UNEC, Digital Econ Res Ctr, Baku, Azerbaijan en_US
gdc.description.endpage 81 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 70 en_US
gdc.description.volume 16 en_US
gdc.description.woscitationindex Emerging Sources Citation Index
gdc.identifier.openalex W4391488480
gdc.identifier.wos WOS:001204361200008
gdc.openalex.fwci 2.13646547
gdc.openalex.normalizedpercentile 0.81
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 0
gdc.plumx.mendeley 13
gdc.plumx.newscount 2
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
gdc.wos.citedcount 1
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