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

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.