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PloS one · 2026

Enhancing engineering competencies through Outcome-based Education: A mixed-methods study in an intelligent control course.

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Yang Jing, Li Zhenqing, Yamaguchi Yoshinori

Аннотация

Bridging the gap between theory and practice remains a persistent challenge in engineering education, especially in complex, algorithm-heavy courses like intelligent control. In such contexts, students often know the abstract concepts but struggle to turn them into workable engineering solutions. Outcome-Based Education (OBE), which focuses on what students can do, offers a promising way forward. However, detailed evidence on how well OBE works at the individual course level in technically demanding fields is still limited. In this quasi-experimental, mixed-methods study, we redesigned an undergraduate intelligent control course around OBE principles, using constructive alignment together with project-based and case-based learning. We compared an intervention cohort (n = 97) with a historical control cohort (n = 89) who had taken the same course the previous year under traditional lectures. Quantitative results from pre- and post-course surveys, exams, and project scores showed meaningful gains for the intervention group across several areas: learning engagement (t = 9.87, p < .001, d = 1.28), practical application skills (t = 13.21, p < .001, d = 1.73), innovation abilities (t = 12.88, p < .001, d = 1.68), final exam scores (84.2 vs. 76.5, p < .001, d = 0.89), and perceived career relevance (t = 11.34, p < .001, d = 1.62). Student feedback further suggested that hands-on projects and regular feedback helped make abstract theories feel concrete and connected to real engineering work. Because we used a historical control group and changed several instructional elements simultaneously, these findings point to a strong positive association rather than definitive cause and effect. Even so, they suggest that a thoughtfully implemented, constructively aligned OBE reform can help build key competencies and bridge theory and practice in advanced science, technology, engineering, and mathematics courses.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты