Blended FORCE Model: Advancing Collaborative, Cloud-Based Learning in System Design Courses

This study introduced the FORCE Learning Model, a blended learning approach for a 'System Analysis and Design' course at a Thai university in 2022, using cloud-based collaborative learning to enhance engagement and outcomes. Employing a mixed-methods research design, the study utilized semi-structured interviews, surveys, and skill assessments, achieving inter-rater reliability of 0.79 and test reliability of 0.74. Data analysis included mean, standard deviations (SD), and t-tests. The results revealed three key findings: (1) identification of six major challenges in course management, including issues with content delivery, student engagement, and assessment methods; (2) development of the FORCE model with five distinct steps—Face-to-face, Online, Rotation activities, Collaborative learning, and Evaluation—demonstrating high process and outcome efficiencies above 81%; and (3) statistically significant improvements in students' team learning skills and academic performance, with gains observed at a 0.01 significance level. These findings emphasize the model’s potential in addressing educational challenges and fostering academic success.

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Publication Details

Journal
International Journal of Instruction
Published
2025-09-19
DOI
https://doi.org/10.29333/iji.2025.1845a
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Blended FORCE Model: Advancing Collaborative, Cloud-Based Learning in System Design Courses

Paitoon Pimdee, Sirirat Petsangsri, Somkiat Tuntiwongwanich, Sangutai Moto et al.
International Journal of Instruction
Experimental Learning in Engineering
article

Blended FORCE Model: Advancing Collaborative, Cloud-Based Learning in System Design Courses

Paitoon Pimdee, Sirirat Petsangsri, Somkiat Tuntiwongwanich, Sangutai Moto, Chontawat Meedee, Pittaya Takaew
article en

Abstract

This study introduced the FORCE Learning Model, a blended learning approach for a 'System Analysis and Design' course at a Thai university in 2022, using cloud-based collaborative learning to enhance engagement and outcomes. Employing a mixed-methods research design, the study utilized semi-structured interviews, surveys, and skill assessments, achieving inter-rater reliability of 0.79 and test reliability of 0.74. Data analysis included mean, standard deviations (SD), and t-tests. The results revealed three key findings: (1) identification of six major challenges in course management, including issues with content delivery, student engagement, and assessment methods; (2) development of the FORCE model with five distinct steps—Face-to-face, Online, Rotation activities, Collaborative learning, and Evaluation—demonstrating high process and outcome efficiencies above 81%; and (3) statistically significant improvements in students' team learning skills and academic performance, with gains observed at a 0.01 significance level. These findings emphasize the model’s potential in addressing educational challenges and fostering academic success.

International Journal of InstructionVol. 18(4)
King Mongkut's Institute of Technology Ladkrabang (TH)
Openalex Percentile: Top 63%
Experimental Learning in Engineering
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Blended FORCE Model: Advancing Collaborative, Cloud-Based Learning in System Design Courses — Paitoon Pimdee, Sirirat Petsangsri, et al. · International Journal of Instruction (2025) | TGRS Research Map | TGRS