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Evaluating the effectiveness of blended learning using the ARCS model

Bibliographic Data

ID21499576
AuthorsLong MA (0000-0001-7674-328X, School of Business Administration Zhejiang Gongshang University Hangzhou China, corresponding author), Chei Sian Lee (0000-0003-0891-6526, Wee Kim Wee School of Communication and Information Nanyang Technological University Singapore)
Year2021
Volume37
Issue5
Pages1397-1408
Publication date2021-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Computer Assisted Learning (JOURNAL)
Journal identifiersISSN: 0266-4909 • E-ISSN: 1365-2729
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcal.12579
OpenAlexW3175355589
LanguageEN
Citations received21
References cited62

While the educational disruption caused by the Covid‐19 pandemic underscores the importance of blended learning in higher education, research on the effectiveness of blended learning is still inconclusive. Drawing from the motivational design model of the ARCS (i.e., attention, relevance, confidence, and satisfaction), this study attempts to fill the gap to evaluate effectiveness of blended learning from a multi‐dimensional perspective. Participants were randomly assigned into three experimental groups (i.e., face‐to‐face, pure online, and blended). A questionnaire survey was administered in each group after the trial courses. The data was analysed by using the one‐way ANOVA with post hoc tests. The results showed that blended learning outperformed pure online learning in enhancing students' attention, confidence, and satisfaction perceptions. Additionally, blended learning had a higher level of satisfaction perception than face‐to‐face learning. Follow‐up interviews were also conducted to provide an in‐depth understanding of how blended learning motivated students during the learning process. Considering that blended learning may become a new normal in higher education after the Covid‐19 pandemic, the findings of the present study provide evidences to support the effectiveness of the blended learning approach in addressing students' motivational needs

Blended Learning · Educational technology · Mathematics education · Multimedia · Online learning · Computer Science · COVID-19 and Mental Health · Online and Blended Learning · Online Learning and Analytics · Psychology

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Unique citing works21
Citations per year5.25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 21

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