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Zhang, Z., Chang, Y.AbstractGenerative Artificial Intelligence has revolutionized various sectors, including engineering educa-tion. This paper explores the integration of Generative AI tools into engineering curricula, focusingon their potential to enhance project-based learning (PBL), foster creativity, and offer personalizedlearning experiences. By leveraging Generative AI, educators can provide tailored feedback, pro-mote knowledge expansion, and facilitate hands-on learning, addressing challenges faced by bothlower-level and advanced engineering students. This study investigates the outcomes of imple-menting Generative AI in courses such as Circuit Analysis, Dynamics, Electrical Power, and In-dustrial Power. Results indicate that students
NSF S-STEM Funded iAM Program: Lessons Learned Implementing a Collaborative STEM Workshop for Community College and University PartnersAbstractIn alignment with the NSF Scholarships in Science, Technology, Engineering and MathematicsProgram (S-STEM) [1], a Two-Year Community College, Nassau Community College (NCC) andfour-year university, Hofstra University (HU) are within a five-mile radius of each other and arecollaborating. The objective is to recruit academically talented low-income students through twopipelines, retain them through transparency of the hidden curriculum, and see them through tograduation in a STEM field from HU [2]. The Integrated and Achievement Mentoring (iAM)Program is a Track 3 (multi