Evaluating the effectiveness of blended learning using the ARCS model

Long Ma*, Chei Sian Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

92 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1397-1408
Number of pages12
JournalJournal of Computer Assisted Learning
Volume37
Issue number5
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 John Wiley & Sons Ltd

ASJC Scopus Subject Areas

  • Education
  • Computer Science Applications

Keywords

  • ARCS model
  • blended learning
  • effectiveness
  • randomized experiments

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