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Autor/inKang, In Gu
TitelHeterogeneity of Learners' Behavioral Patterns of Watching Videos and Completing Assessments in Massive Open Online Courses (MOOCs): A Latent Class Analysis
QuelleIn: International Review of Research in Open and Distributed Learning, 21 (2020) 4, S.221-237 (17 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1492-3831
SchlagwörterOnline Courses; Large Group Instruction; Educational Technology; Technology Uses in Education; Student Behavior; Video Technology; Higher Education; Teaching Methods; Learner Engagement; Student Characteristics; At Risk Students; Intervention; Dropouts; Academic Persistence; Enrollment
AbstractMassive open online courses (MOOCs) have been touted as an effective way to make higher education accessible for free or for only a small fee, thus addressing the problem of unequal access and providing new opportunities to young people in middle and low income groups. However, many critiques of MOOCs have indicated that low completion rates are a major concern. Using a latent class analysis (LCA), a more advanced methodology to identify latent subgroups, this study examined the heterogeneity of learners' behavioral patterns in a MOOC, categorized them into distinctive subgroups, and ultimately determined the optimal number of latent subgroups in a MOOC. The five subgroups identified in this study were: "completing" (6.6%); "disengaging" (4.8%); "auditing" (4.6%); "sampling" (21.1%); and "enrolling" (62.8%). Results indicated this was the optimal number of subgroups. Given the characteristics of the three at-risk subgroups (disengaging, sampling, and enrolling), tailored instructional strategies and interventions to improve behavioral engagement are discussed. (As Provided).
AnmerkungenAthabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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