2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. The Relations Between Departmental Communications and External ScholarshipsAwarded to Engineering Undergraduate Students Elizabeth O’Connell Sarath Chandra Kumar Jagupilla, Muhammad Hajj, Ph.D. Stevens Institute of Technology Ph.D., P.E., BCEE Stevens Institute of TechnologyDepartment of Civil, Environmental Stevens Institute of Technology Department of Civil, Environmental and Ocean Engineering Department of Civil, Environmental and Ocean Engineering
and creating a Additionally, high school students often have busy schedulesgeographical map of bike distribution to add more challenges. We that make it difficult to carve out time for extracurricularalso worked on web scraping projects for gaming to make learning activities. I realized that for the club to be successful, it neededfun. Our club invited professors and engineers to host seminars, to provide clear value and excitement to prospective members.providing research insights and inspiring members. I also led my Students had to see programming and AI as more than just anclub members in carrying out AI research activities and academic pursuit, but as a fun and engaging way to build
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. On Teaching with AI: The Case of Scientific and Engineering Programming in the Era of Artificial Intelligence Basile Panoutsopoulos Department of Physics and Engineering Community College of Rhode Island Warwick, RI BPanoutsopoulos@ccri.edu Abstract—In this paper, we present a background on the use Customization: AI-based tools can customize the
(2023), these tools are being widely adopted across among engineering students at the University of New higher education institutions due to their ability to Haven. It investigates engineering students' perceptions improve operations and enrich educational content. regarding the role of AI in their education, the challenges However, they caution about the risks to academic encountered with its integration, and the ethical concerns integrity as AI-generated content may often blur the lines related to AI applications in engineering. Utilizing between student originality and automated output. questionnaires, this study collects data from a diverse This concern is recalled by
University of III. OVERVIEW OF NACE C ORE C OMPETENCIES Leeds, students in the MA Advertising and Design program The National Association of Colleges and Employers were encouraged to use generative AI to enhance their creative(NACE) has identified eight essential career readiness compe- ideation processes[11]. With such tools, students become moretencies that are critical for students’ transition from academia confident and creative in illustrating their engineering ideas.to the professional world. These competencies serve as a Beyond visual communication, AI tools have been instru-framework for developing the skills necessary for workplace mental in improving public
; Critical thinking skills; the study highlights how pedagogical strategies must evolve toPedagogical challenges meet the needs of diverse learners in an AI-driven era. The paper is structured as follows. The Introduction follows I. INTRODUCTION a Related Work section synthesizing existing research on The rapid evolution of artificial intelligence (AI) has made prompt engineering education, including prior challenges andprompt engineering—the practice of crafting inputs to optimize outcomes, and identifying gaps this study addresses. TheAI
experiences of engineering designis inspired by a search for synergy between multimodal design students, and could also inform future studies related tocapacities (e.g. anthropometry, anatomy, and material creativity and learning.properties) and KEEN (Kern Entrepreneurial EngineeringNetwork), a learning resource program designed to foster Keywords: design; creativity; golden section; senior designcreative thinking in engineering. projects; human factors; ergonomics The KEEN Program’s resource, Integrated E-Learning I. INTRODUCTIONModule: Thinking Creatively to Drive
enhances the learning students’ performance, retention, and understanding.experience by allowing students to connect theoretical knowledgewith practical applications. This paper examines laboratory- Keywords—Experiential education; Inquiry-based learning;based pedagogy and how it enhances the Accreditation Board for Teamwork and collaboration; Project-based assessments.Engineering and Technology [ABET] -accredited EngineeringTechnology programs at Queensborough Community College[QCC]. Laboratory-based instruction, as a method of pedagogy, I. INTRODUCTIONcan be utilized across multiple varying engineering curricula. Lab
would be significantly different from those who get interpersonal skills. This review highlights the benefits, hands-on practice with programming, testing, and challenges, and outcomes of integrating PBL into the refining their code directly on a CNC machine. This engineering and technology curricula. Key benefits of active engagement fosters deeper learning and better PBL include fostering technical competence, critical preparation for industry [1]. PBL enables a blended thinking, teamwork, and adaptability. It provides approach that incorporates lectures, group activities, students with opportunities to engage deeply with cooperative learning, online and face-to-face tutoring
-course related tasks Analysis and Synthesis of Mechanisms course for the(i.e., 3D printing, programming, and woodworking). I will undergraduate Mechanical Engineering curriculum. Studentscontinue to weigh the pros and cons of these course revisions as learn to use CAD software to perform numerical simulation ofI approach the next offering. the kinematics and kinetics of multilink mechanisms, producing Another limitation in the current implementation of the continuous plots of key metrics used to analyze systemcourse is the lack of comparing hand calculations and simulation performance. The importance of hand calculations isresults with experimental data
knowledge sharing, problem-solving discussions, anddeepened their interest in sustainable energy and renewable improved communication skills—essential elements oftechnologies, particularly solar energy. Several expressed a real-world engineering projects. Most students identifiedgreater desire to pursue careers in renewable energy design inefficiencies, such as challenges with mirrorengineering or related fields. The hands-on experience of alignment, motor precision, and sensor calibration
and efficientorganizing the seminar framework and in saving time. The most human performance engineering. Groups of ~4 students teamcommon detriments noted by students related to the effect on up for many of the assignments.their work creativity and ownership as well as AI’s tendency to B. Generative AI in HMSmisinterpret course topics and vocabulary. The HMS course began with an overview of the current The codified reflections are very telling and have enhanced state of generative AI and an outline of which types of tools,the professor’s understanding of AI capabilities and
STEM fields. This study evaluate and produce preliminary knowledge on thesupports and enhances academic programming for selected implementation of the ARG model to increase the retention ofstudents at UB by implementing the ARG model as a means of undergraduate Hispanic students in engineering and computermitigating the barriers that have proven to limit student science, as well as provide directions for implementing anretention by increasing engagement, improving the acquisition ofcareer-related skills, and improving confidence in the student's effective intervention that improves the transition of URMs,ability to be successful in academically rigorous course work. especially Hispanic engineering and
standardized training Training and Research,” Automotive Engineering Education Journal,curricula. By prioritizing workforce development alongside vol. 15, no. 3, pp. 198–214, 2022.infrastructure investment, states can ensure a smooth and [20] A. Ebron, “Revising EV technician training programs to meet industrysustainable transition to electric mobility. Establishing clear needs,” International Journal of Electric Vehicle Technology, vol. 19, no. 1, pp. 45–63, 2022.career pathways, industry-recognized certifications, and
in market share and products which were undesirable. ABET, the Accreditation Board for Engineering and observational notes after conducting these projects in theirTechnology, in its 2020-2021 Criteria for accrediting classes.engineering programs, made an emphasis on how importantinterdisciplinary skills are in engineering education [1]. In the At the start, professors conducted meetings on how toStudent Outcomes [3] and Faculty [6], ABET discusses that integrate these multidisciplinary team projects into theirteamwork, communication, and interdisciplinary cooperation syllabus. The Industry Advisory Board recommendations wereare the key. Modern world problems are more complex
) phillip.bradford@uconn.eduAbstract—The advent of artificial intelligence (AI) large language This increase in student enrollment presents a notablemodels (LLMs), such as ChatGPT, brings many benefits for challenge - the manual grading of programming assignmentsproductivity and education. These models also come with a set of becomes a daunting task for instructors. To alleviate thissignificant drawbacks. One of the primary concerns arising from burden, numerous automated programming assessmentthe use of these models is the potential for student plagiarism intheir homework and assignments. The ability of ChatGPT to platforms have been introduced, including
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Exploring Student Use of AI Tools in Heat Transfer and Finite Element Analysis Courses Rachmadian Wulandana Mechanical Engineering Program State University of New York (SUNY) New Paltz New Paltz, NY wulandar@newpaltz.edu Abstract— This study explores how students in Heat Transfer California State University to roll out an education-specificand Finite Element
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgepeort, CT, USA. Prompting AI-based agents for Self-Directed Learning Yegin Genc Gonca Altuger-Genc Akin Tatoglu Dept. of Information Technology Dept. of Mechanical Engineering Tech. Dept. of Mechanical Engineering Pace University Farmingdale State College University of Hartford New York, USA New York, USA Connecticut, USA ygenc@pace.edu gencg
(AI) in education has led Project and Program Management and Lean Six Sigma. Theseto significant changes in how students interact with course courses are taught to both technical and business students atmaterials in all disciplines. AI can assist in knowledge University of Bridgeport. These courses are foundationalacquisition and aid in assessment of knowledge application. courses in engineering education, equipping students with theHowever, it can also challenge traditional pedagogical skills necessary to manage projects, optimize processes, andapproaches, requiring educators to rethink assessments, ensure quality in engineering work [4]. These disciplines areassignments, and
Dan Tenney Department of Technology Management University of Bridgeport Bridgeport, CT, USA Abstract—Generative AI (GenAI), is reshaping how students and various concerns of engineering education in the era of AIlearn, retain, and apply knowledge in engineering education. A while opening future research on addressing the inherent risks ofpersistent challenge exists in bridging the gap between knowledge GenAI in our society and fostering a culture of critical, open, andgained during academic programs and its practical application collaborative learning.post
objectives of the ‘Communication systems’ tocovering both fundamental and advanced concepts related to undergraduate electrical engineering students are i)the transmission, reception, and processing of information Understand fundamental concepts and represent signals inacross various communication channels. The course time and frequency domains and be able to explain theencompasses theoretical foundations, mathematical models, principles of analog and digital communication systems. ii)and practical applications, necessitating activities that foster Understand and implement amplitude, frequency, and phasecompetency development in the field. modulation schemes and be able
economic downturns coincide. demand. To strengthen our analysis, we integrated two more key 4) STEM Fields in High Demand: STEM programs con-datasets: the first data set, the IIE Open Door dataset, which tinue to dominate, with Math and Computer Science (+16.9%)provides detailed enrollment and demographic information and Engineering (+3.6%) leading the demand. In contrast,about international students, and the second data set, the Social Sciences (-2%) and Journalism (-2.3%) have seen aEconomic Policy Uncertainty (EPU) dataset, which includes decline.crucial economic indicators like GDP, visa policy, and fi
be modified while adopting a lens related to technology the integration of structured technology in the high schools ofmanagement. This can also help in ensuring the benefits of all Saudi Arabia while focusing on student engagement, lessonthe approaches related to strategic decision-making within all planning, and the strategies of assessments?the policymakers and educational institutions of Saudi Arabia.However, without the involvement of proper evidence on the H02: There is no presence of significance among thelong-term benefits of all the operations investment within the participants of OPD and the inclusion of structural technologytraining programs for the online teacher can further remain
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Arduino-ESP32 based Smart Irrigation System Ahmed Hassebo Kevin B. Montes1, and Erick Cabrera2 Electrical and Telecomm Engineering Technology Computer Engineering Technology NYC College of Technology - CUNY NYC College of Technology - CUNY Brooklyn, NY Brooklyn, NY 1 Ahmed.Hassebo10@citytech.cuny.edu
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Leveraging AI in Concept Development for Textile- Based Wearable Healthcare Devices Jorge Paricio Garcia, PhD, MID, HRM Paul Spirito School of Mechanical, Aerospace, and Manufacturing Krenicki Arts and Engineering Institute Engineering, Krenicki Arts and Engineering Institute Director of the Graduate Online Puppet Arts Certificate University of Connecticut Program Storrs, CT, USA University of Connecticut
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA.A Novel Platform for Evaluating Nurses’ Trust in AI- based Biomedical Tools Boluwatife E. Faremi[1], Javier O. Pinzon-Arenas[1], Amir Mohammad Karimi Forood[1], Josef Kundrát[1], Hugo F. Posada-Quintero[1], Ann Marie Hoyt-Brennan[2], Wendy A. Henderson[2] [1]Department of Biomedical Engineering, University of Connecticut, Storrs, CT [2]Penn Nursing, University of Pennsylvania, Philadelphia, PA Abstract—AI-based biomedical engineering tools are essential to
and concerns, and recommendations for ethical and concerns related to student preparedness, ethical implications,effective AI integration in education. and the potential for academic misconduct. In contrast, a A total of 70 instructors (faculty and graduate students) larger proportion (47%) believed that AI integration is timely,participated in the survey, representing a wide range of aca- emphasizing its capacity to enhance educational practicesdemic disciplines, including humanities, social sciences, natu- when accompanied by appropriate institutional support andral sciences, computer science, engineering, and mathematics. ethical guidelines. The remaining 26% remained
B. Operation guide – immersed bodiespreviously unfamiliar with programming. The app will The user must check the box “I am working with experimental data” to enter the immersed body mode. The usermust provide their own graph in the form of a .png file to determine the software’s effectiveness in real-worldupload. They must type in the four corners of the graph they engineering applications. During the summer II semester ofwish to upload, click the blue “UPLOAD IMAGE” button, and 2024, a study was conducted with all ME3475 sections. Theupload their file. Once
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. The Impact of Social Media and Technology onEmpowering Saudi Women Entrepreneurs in NationalSocial Projects: Analytical Research in Accordance to the Saudi 2030 Vision Noha Alharbi Peter Cavanaugh Department of Technology Management, Department of Technology Management, School of Engineering School of Engineering University of Bridgeport University of Bridgeport
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