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their work into several key categories,including technical problem-solving, interdisciplinary applications, societal impacts, anddiversity and inclusion initiatives. This classification is informed by KEEN cards, whichhighlight innovative teaching methodologies such as problem-solving studios, project-basedlearning, and entrepreneurship in engineering. Our analysis reveals trends in topics, teachingmethods, and content of the KEEN cards, offering insights into how fellows from differentdisciplines (e.g., mechanical, civil, and chemical engineering) bring distinct approaches tointegrating entrepreneurial mindsets in their curricula. We also identify workshops, such asProblem-Solving Studios and Integrating Curriculum with Entrepreneurial Mindset
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
, we recognized the importance of self-confidence in students'learning outcomes, as highlighted by Chiang, et al. [3]. Consequently, the camp's curriculum wasdesigned to build students' confidence in tackling coding tasks and solving complex problems,fostering a growth mindset in a supportive, collaborative environment.The iterative nature of the camp's development underscores the importance of flexibility andadaptability in educational design, especially in the face of unprecedented challenges like thepandemic. This paper focuses on the camp's 2023 and 2024 iterations, analyzing the impact ofthe program's structure and instructional strategies on student outcomes. By examining pre- andpost-survey data, we aim to contribute to the ongoing
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
. Plumb and C. Scott, “Outcomes Assessment of Engineering Writing at the University ofWashington,” J. Eng. Educ., 91, pp. 333–338, 2002.[8] R. Cockrum, D. Clark and Z. Mylona, “Motivating students to write technical papers,” Proc.of the 29th ASEE/IEEE Frontiers in Education Conference: Designing the Future of Science andEngineering, November 10-13, 1999, San Juan, Puerto Rico: Institute of Electrical andElectronics Engineers, Piscataway, New Jersey. ISBN: 0-7803-5643-583.[9] D. Russ, “Developing technical writing skills to engineering students,” Procedia Technology,19, pp. 1109 – 1114, 2015. doi: 10.1016/j.protcy.2015.02.158[10] Y. Gao, "Teaching Technical Writing to Engineering Students: Design, Implementation, andAssessment for Project-based
completion of his Ph.D. he began working in the Aerospace Industry where he spent over 10 years as a Stress Analyst/Consultant. At present he enjoys working on Distributed Electric Propulsion (DEP) with his students, designing, analyzing, constructing and flying Unmanned Aerial Vehicles. Dr. Nader won a few awards in the past few years, among these are the College of Engineering Award of Excellence in Undergraduate Teaching (2023), Excellence in Faculty Academic Advising for the College of Engineering and Computer Science (2020). In addition, he is also a Co-PI on the NSF-supported HSI Implementation and Evaluation Project: Enhancing Student Success in Engineering Curriculum through Active e-Learning and High Impact