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Optimizing Components Selection in Blended Learning: Toward Sustainable Students Engagement and Success

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  • Ali Saleh Alammary

    (College of Computing and Informatics, Saudi Electronic University, Jeddah 393453, Saudi Arabia)

Abstract

Selecting the most appropriate components for a blended learning course is a multifaceted challenge influenced by various criteria. The impact of these influential criteria on the design process is not always obvious. The aim of this study is to assist academics in designing sustainable and engaging blended courses by investigating the impact of these criteria on the selection of blended learning components. By selecting the right mix of components, academics can foster a sustainable and meaningful involvement of students in their learning process over time, ensuring that students’ engagement is both enduring and beneficial in achieving academic success. A modified Delphi survey was utilized in this study, involving the participation of eighteen experts experienced in instructional design and online teaching. The analysis primarily relied on quantitative methods, utilizing the mean (to indicate central tendency) and standard deviation (to measure dispersion) for presenting the experts’ responses. Additionally, qualitative analysis of experts’ comments provided deeper insights into their quantitative ratings. Findings indicate that face-to-face collaborative activities should be the preferred method of delivery for academics aiming to enhance students’ engagement and foster their higher-order thinking skills, which students often find challenging. However, this approach is most effective when the group size is manageable. For larger student groups, online collaborative work can be a suitable alternative, provided there is ample online resource support. The results also indicate that online self-paced learning can be advantageous for lower-order thinking learning outcomes, particularly in situations where teaching staff is limited.

Suggested Citation

  • Ali Saleh Alammary, 2024. "Optimizing Components Selection in Blended Learning: Toward Sustainable Students Engagement and Success," Sustainability, MDPI, vol. 16(12), pages 1-30, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:4923-:d:1411238
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    References listed on IDEAS

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    1. Ahmed A. Alsayer, 2023. "Learners’ Experiences in an Online Learning Environment: An Analysis of the Impact of International Collaboration," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Ehsan Ahmad & Ali Alammary, 2022. "Towards unified management of software capstone projects in Saudi universities: a survey-based study," Arab Gulf Journal of Scientific Research, Emerald Group Publishing Limited, vol. 40(2), pages 118-138, August.
    3. Ashraf Ali & Raja Muhammad Ishtiaq Khan & Abdullah Alouraini, 2023. "A Comparative Study on the Impact of Online and Blended Learning," SAGE Open, , vol. 13(1), pages 21582440231, February.
    4. Xie, Shuyi & Dong, Shaohua & Chen, Yinuo & Peng, Yujie & Li, Xincai, 2021. "A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    5. Ali Saleh Alammary, 2022. "How to Decide the Proportion of Online to Face-to-Face Components of a Blended Course? A Delphi Study," SAGE Open, , vol. 12(4), pages 21582440221, November.
    6. Osman Birgin & Faden Topuz, 2021. "Effect of the GeoGebra software-supported collaborative learning environment on seventh grade students’ geometry achievement, retention and attitudes," The Journal of Educational Research, Taylor & Francis Journals, vol. 114(5), pages 474-494, September.
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    Cited by:

    1. Brina Kurent & Stanislav Avsec, 2024. "Synergizing Systems Thinking and Technology-Enhanced Learning for Sustainable Education Using the Flow Theory Framework," Sustainability, MDPI, vol. 16(21), pages 1-42, October.

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