2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Artificial Intelligence Assisted Physics Pedagogy for Engineering Technology Students Sunil Dehipawala, Guozhen An, Arkadiy Portnoy, Tak Cheung Physics Department CUNY Queensborough Community College New York City USA Abstract—The Artificial Intelligent Large Language Models Biology Department in our community college is offeringof OpenAI.com have been used in physics courses in the ABET
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. A Student’s View on the Role of Project Based Learning in Engineering Technology Education: A Review Samuel Servati PS. Dhanasekaran Department of Mechanical Engineering Department of Mechanical Engineering Technology State University of New York Technology (SUNY Canton), Canton, NY USA. State University of New York (SUNY Canton), Serva101@canton.edu Canton, NY USA. dhanasekaran@canton.edu
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Innovation, Technology, and Teacher Leadership Development through Online Professional Development Courses in Saudi Arabia Nadia Albishi, Peter Cavanaugh School of Engineering and Technology University of Bridgeport Bridgeport, CT I. INTRODUCTIONAbstract - This study investigates the relationship betweenonline professional
objectives. The author has included in an End Note “A copy ofIntelligence in particular create opportunities and challenges for the Technology in Education Guidelines for these classes.”the engineering education ecosystem. AI presents a uniquedisruption in the way that students acquire knowledge in the A word about the nomenclature of assignments,classroom and apply that knowledge afterwards. This paper assessments and activities for the purposes of this study. Thesefocuses on graduate level project and process management classes generally use a mixture of assignments, assessments,classes that have been taught before AI and will continue to be and activities. They are often interconnected as theytaught to
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
technology and AI technology in lab automation will support“print (entropy)". the continuation of using AI tools in student research projects. The threshold feature of Fig. 4 suggested that the entire Sun With faculty effort to include more coverage of diffusive heatwas involved in the evolution of the active region 13664. The transfer in Calculus Physics One, together with lab automationnew result fulfilled the criterion of authentic experience in in engineering technology courses, the student research groupundergraduate student research project. If the analysis did not using AI assisted tools will
navigate these challenges carefully to educational frameworks represents a significant shift in fully utilize the benefits of AI while preparing students to the way engineering education is approached, with critically engage with the technology (Qadir, 2022). Generative AI tools like ChatGPT leading this The complexity of modern engineering problems transformation. These tools are not only reshaping demands that students not only possess technical curriculum design but are also enhancing the way knowledge, but also advanced problem-solving skills. AI educational content is delivered and interacted with by tools can be instrumental in developing
amcadams@bridgeport.eduAbstract— The integration of Artificial Intelligence (AI) Keywords—artificial intelligence; industry 5.0; automotiveinto engineering design presents a transformative engineering; design optimization; business strategy; educationopportunity to optimize processes, enhance outcomes, and and trainingreduce costs. This paper examines the application of AIthrough a design project from within the automotive I. INTRODUCTIONindustry, focusing on a “blank sheet” design approach for amanifold system. Utilizing AI, the project aims to not only In today’s rapidly evolving technological landscape, the
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Challenges in Integrating Artificial Intelligence (AI) into Engineering and Higher Education PS. Dhanasekaran Department of Mechanical Engineering Technology State University of New York (SUNY Canton), Canton, NY USA. dhanasekaran@canton.edu evolved into intelligent tutoring systems (ITS), whichAbstract
students in revising and critiquing their written work. These utilizing technology in the workplace. tools help students generate and compare ideas, improving While all eight competencies are crucial for career readi- their ability to critically analyze and refine their own writing.ness, this paper focuses on three key areas—communication, This iterative feedback process has proven to be an effectiveproblem-solving, and teamwork—which are particularly im- method for strengthening students’ analytical and communi-portant for engineering students. These competencies not only cation skills[10]. Additionally, at University of Murcia, an AI
: 20th International Conference, ITS 2024, Thessaloniki, Greece,Additionally, exploring how prompt engineering intersects with June 10–13, 2024, Proceedings, Part I*, Berlin, Heidelberg: Springer- Verlag, 2024, pp. 232–243. doi: 10.1007/978-3-031-63028-6_18.emerging AI technologies, such as multimodal models or [3] D. J. Woo, D. Wang, T. Yung, and K. Guo, "Effects of a Promptdomain-specific LLMs, could refine its application in Engineering Intervention on Undergraduate Students' AI Self-Efficacy,specialized fields. By addressing
) [2] National Society of Professional Engineers. (n.d.). NSPE: The professional association for licensed engineers. Retrieved January 13, 2025, from https://www.nspe.org [3] ABET. (2025). Accreditation board for engineering and technology. Retrieved January 13, 2025, from https://www.abet.org [4] ABET. (2023). Criteria for accrediting engineering programs, 2024–Fig. 2. Reflection of result Q2
Enhancing Career Readiness Skills for Engineering Students with Artificial Intelligence Lina H. Kloub School of Computing University of Connecticut Storrs, CT, USA lina.kloub@uconn.edu Abstract—he integration of artificial intelligence (AI) tools in challenging in the curriculum. The course demands a deepeducation presents a unique opportunity to enhance learning ex- understanding of algorithmic principles and the ability to applyperiences
Northeastern UniversityAbstract environmental impact and potential for long-term sustainability [10].The "heliostat mindset" emphasizes the harnessing of solar energythrough heliostats—devices designed to track the sun and reflect itslight to specific targets, commonly utilized in concentrated solar Through the heliostat project, students are encouraged topower systems. This mindset is vital for engineering students as it think critically about the intersection of technology and thefosters sustainability awareness
; Head Mounted Displays ne potential cause of early career burnout among nurses is the theory-practice gap. Within nurse training, the theory-practice I. INTRODUCTION gap describes the difficulty new practicing nurses encounter One of the Grand Challenges of Engineering for the 21st when translating the theories they learned in theirCentury is to enhance virtual reality (VR) technology to solve undergraduate classrooms to clinical practice as nurses. Thisproblems in our society [1]. Healthcare remains a huge cost gap is
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
rsamsami@newhaven.edu kkhat3@unh.newhaven.edu Abstract—Generative Artificial Intelligence (Gen AI) has machine teaching in the classroom. This paper reviews thebeen rapidly transforming engineering education, reshaping current state of engineering education in the Gen AI era,traditional pedagogical methods, curriculum design, and student inspecting how new AI-driven tools are influencinglearning experiences. Unlike previous technological pedagogical frameworks, industry practices, and the studentadvancements, it processes real-time knowledge by adapting the learning experience. Key opportunities, including adaptivelearning environments. It also helps with problem-solving, learning
Engineering Network), a learning resource program designedinteractive to inspire creativity among these students. Student to foster creative thinking in engineering. The Keen Program’sfeedback suggested that adding interactive electronic devices to resource, an e-module selectively available to students throughthe module would help to inspire design creativity. Based on this the University’s primary online course content site, was writtenfeedback, the authors suggest implementing a modified KEEN e- to help foster innovation among engineering design students.module that uses advanced technology and/or immersive virtual The module focuses on bringing awareness to the processesreality (VR) to assess and enhance
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
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. WPI Systems Engineering Awareness Digital Badge Program Pilot program in Micro-credentials Terri A. Camesano1, Elizabeth Wilson2, Valerie Smedile Rifkin3 1 Graduate and Professional Studies & Chemical Engineering; 2Systems Engineering Program; 3Academic Technology Center Worcester Polytechnic Institute Worcester, MA 01609 terric@wpi.edu Abstract— Worcester Polytechnic Institute (WPI) has a
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
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Intentional Infusion of Generative AI in a Human-Machine Systems Engineering Course Assessment with Adoptable and Adaptable Strategies B. Kris Jaeger-Helton Department of Mechanical & Industrial Engineering Northeastern University Boston, MA 02115 bk.jaeger-helton@northeastern.edu
2025 ASEE Northeast Section Conference, Mar. 22, 2025, University of Bridgeport, Bridgeport, CT, USA. A color-based image analysis tool used for engineering education and its potential application for AI training Priscilla C. Fonseca Riley Popp School of Computing and Engineering Cockrell School of Engineering Quinnipiac University University of Texas Hamden, CT USA Austin, TX USA pcfonseca@quinnipiac.edu rwp632@my.utexas.edu Abstract—If a civil
; semiconductor different opinions. It wasn't like a group project industry. where there's a specific thing that needs to be done; • Working as a Systems Test Engineer, responsible for rather, it's a little broad, so you could do your own implementing the integration and verification research, which brought a lot of interesting ideas. strategy critical to support the release of cutting-edge • I think once we understood the model and used it for technology and valid system configurations. research, we got used to working together all the • As a student at UB
- rates suggesting that rural and income-based pressures arestructured but encourage students to share their own compounding in this student population. To address theseexperiences. Topics to date have included: 1) Study Skills and pressures, the Building Bridges to Engineering StudentSelf-Reflection, 2) Goal Setting and Individual Development (BBEST) team seeks to create a targeted, personal approach toPlanning, 3) Innovation and Entrepreneurship, 4) counteract the social and financial pressures associated with theUndergraduate Research Experiences, and 5) Career perceptions of technology and advanced degrees in theirPreparation. The mentorship team consists of the associate
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
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Aligning University Education with Industry Needs Through Cross-Functional Teamwork Bushra Rayyan Qadri1, Arthur McAdams1,2, Peter Cavanaugh1,2, Dan Tenney1,2, Ali Baker2 1 School of Engineering and Technology 2 Ernest C. Trefz School of Business University of Bridgeport Bridgeport
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. AI-enhanced Open Educational Practices (AIOEP) Managing Security, Privacy, and Ethics of Artificial Intelligence in Engineering Education Peter Cavanaugh Jun Zhang, Department of Technology Management Department of Technology Management University of Bridgeport University of Bridgeport Bridgeport, CT, USA Bridgeport, CT, USA
Students”, Forbes, February 26, 2025,integrate AI tools into a master's course has increased student https://www.forbes.com/sites/danfitzpatrick/2025/02/26/chatgpt-to-be-comfort as well as raised awareness of its ethical issues [17]. given-to-all-estonian-high-school-students/ [6] I. B. Bunjaku, S. Gagica, M. D. Kent, “Integrating Digital Tools in Several factors may contribute to the students’ low Engineering Education: Social Impact of Technological Integration”,engagement in using AI tools for their learning. First, students IFAC PapersOnline 58-3 (2024) p. 118 - 122are simply
, Sneha Gundeboyena Wentworth Institute of Technology, Boston, Electrical Engineering Massachusetts, USA University of New Haven, Connecticut, USA sukhavasis@wit.edu sgund29@unh.newhaven.edu Marisha Rawlins Electrical and Computer Engineering, Wentworth Institute of Technology, Boston, Massachusetts, USA