Group-based learning in engineering education fosters technical competence and teamwork skills; however, assessment practices often struggle to ensure individual accountability, leading to grading bias and uneven participation. This study implements a multi-source peer assessment model in a Collaborative Online International Learning (COIL) program jointly conducted by Shibaura Institute of Technology (Japan) and Institut Teknologi Sepuluh Nopember (Indonesia). The whole 14-week hybrid online–onsite physics course (Magnetism and Magnetic Materials) was embedded within an interdisciplinary COIL module that integrated STEM content. Additionally, the humanities perspectives through a two-week collaboration with a History of Japan module, broadening the notion of “contribution” beyond technical problem-solving. To promote fairness, a weighted scoring model was developed, integrating within-group peer evaluations (20%), cross-group peer evaluations (10%), Indonesia-based instructor evaluations (30%), and Japan-based physics lead instructor evaluations (40%). The model was compared with a conventional instructor-only assessment approach using data from two cohorts: FY2024 (n=21) and FY2025 (n=30). Instructor-only averages exceeded peer-inclusive adjusted scores by approximately 2–5 points across cohorts, suggesting grade inflation under single-source evaluation. Statistical analysis showed significant differences (p < 0.01) across both academic years, while maintaining strong correlation (r > 0.87) and rank-order stability (ρ > 0.82). These findings indicate meaningful score correction without substantially altering performance ranking. The proposed multi-source model reduces reliance on a single evaluator, enhances transparency of individual contributions in collaborative contexts, and offers an empirically validated assessment framework for interdisciplinary, cross-institutional STEM COIL environments—an area that remains underexplored in engineering education research.
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