To address the challenge of achieving high-order pedagogical goals in emerging engineering education with limited instructional resources at regional universities. This study proposes and implements a pragmatically smart instructional model. Grounded in outcome-based education （OBE） and constructivist theory， the model was piloted in an Electric Circuits course. By reconfiguring the functionalities of the SuperStar Learning platform， a "goal-layered， data-perceptive， and dynamic-regulation（GDD）" closed-loop framework was established. The result showed that the model has successfully achieved stratified support and precise intervention for student performance. Empirical results confirm that the GDD model significantly boosts overall academic performance， effectively improves the learning conditions for academically struggling students， and has been widely acclaimed by the student body. This empirically validated teaching model offers a cost-effective and scalable pathway for resource-constrained regional universities to advance instructional intelligence.