This study presents an innovative talent-training framework for high-achieving undergraduates in robotics engineering that integrates a four-phase developmental scaffoldłcognitive ignition,interdisciplinary fusion,res...This study presents an innovative talent-training framework for high-achieving undergraduates in robotics engineering that integrates a four-phase developmental scaffoldłcognitive ignition,interdisciplinary fusion,research immersion,and entrepreneurial translationłwithin a trinity ecosystem composed of an elite“robotics honor academy,”industry-led living-labs,and an international academic alliance.A three-year quasiexperiment involving 186 outstanding students shows that participants achieved a 42%increase in flagship competition awards,2.3-fold rise in first-author IEEE papers,and 96%job-match relevance versus 71%in the control group.The model’s core mechanisms are:(1)dynamic learning pathways steered by AI-diagnosed competency portraits;(2)cross-disciplinary“chameleon”projects co-supervised by university,corporate and clinical partners;(3)an ethical-by-design thread that embeds robo-ethics,sustainability and societal impact assessment into every project milestone.Structural equation modeling confirms that research immersion exerts the strongest total effect on creative self-efficacy(=0:54,p<0:001),while entrepreneurial translation is the key predictor of technology-transfer intention(=0:49).The findings offer a scalable blueprint for cultivating robotics elites who combine deep technical virtuosity with responsible innovation mindset,and can be adapted to other high-tech engineering disciplines.展开更多
基金supported by the 2024 Strategic Emerging Specialty Construction Point Support Project of Zhengzhou Local Universities(Robotics Engineering Major of Zhengzhou University of Science and Technology).
文摘This study presents an innovative talent-training framework for high-achieving undergraduates in robotics engineering that integrates a four-phase developmental scaffoldłcognitive ignition,interdisciplinary fusion,research immersion,and entrepreneurial translationłwithin a trinity ecosystem composed of an elite“robotics honor academy,”industry-led living-labs,and an international academic alliance.A three-year quasiexperiment involving 186 outstanding students shows that participants achieved a 42%increase in flagship competition awards,2.3-fold rise in first-author IEEE papers,and 96%job-match relevance versus 71%in the control group.The model’s core mechanisms are:(1)dynamic learning pathways steered by AI-diagnosed competency portraits;(2)cross-disciplinary“chameleon”projects co-supervised by university,corporate and clinical partners;(3)an ethical-by-design thread that embeds robo-ethics,sustainability and societal impact assessment into every project milestone.Structural equation modeling confirms that research immersion exerts the strongest total effect on creative self-efficacy(=0:54,p<0:001),while entrepreneurial translation is the key predictor of technology-transfer intention(=0:49).The findings offer a scalable blueprint for cultivating robotics elites who combine deep technical virtuosity with responsible innovation mindset,and can be adapted to other high-tech engineering disciplines.
