prepare students of all ages to become Technology, Engineering and provide the highest level of service to students, leaders in STEM using algebra, Mathematics (STEM) is used for positive teachers and administrators. TGF develops programming, and design concepts. impact, promoting social good and solutions to increase the number of students ethical considerations in all who are prepared to enter into technological advancements. and matriculate through collegiate STEM
6 Education 91, no. 4 (2007): 523-53. https://doi.org/10.1002/sce.20203. https://dx.doi.org/10.1002/sce.20203.8. A. Sivan, R. W. Leung, C. Woon, and D. Kember. "An Implementation of Active Learning and Its Effect on the Quality of Student Learning." Innovations in Education and Training International 37, no. 4 (2000): 381-89. https://doi.org/10.1080/135580000750052991 .9. J. Theobald Elli et al., "Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math," Proceedings of the National Academy of Sciences, vol. 117, no. 12, pp. 6476-6483, 2020, doi: 10.1073/pnas.1916903117.10. W. M. Roth, C. J. McRobbie, K. B. Lucas, and S. Boutonné, "Why
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
variability on groundwater rechargeand depletion, identifying regions at high risk of water scarcity.[3]The STEM initiative combines theoretical knowledge with hands-on experimentation to deepenstudents' understanding of water systems and their management. Practical activities, such asmodeling aquifer recharge and measuring water flow rates, allow students to simulate naturalprocesses like infiltration, capillary action, and groundwater movement. These experimentsdemonstrate engineering principles in action and encourage students to design prototypes for waterconservation technologies, including artificial recharge systems and irrigation networks. Byworking with laboratory equipment and field tools, students develop problem-solving andanalytical
Paper ID #49642Integrating Artificial Intelligence into Construction Education: Assessing theImpact on Students’ Perception of Knowledge, Confidence, and Relevance toCareerMr. Chinedu Okonkwo, The University of Texas at San AntonioRoy Uzoma LanDr. Ibukun Gabriel Awolusi, The University of Texas at San Antonio Dr. Ibukun Awolusi is an Associate Professor in the School of Civil & Environmental Engineering, and Construction Management at The University of Texas at San Antonio. His research interests and expertise are in construction safety and health, automation and robotics, innovation and technology integration in
. 2021, pp. 1-5, doi:10.1109/FIE49875.2021.9637253.[7] A. J. Swart, LM. Coughlan, N. Joannou, “Student perspectives of a peer mentorshipprogramme introduced at a university of technology in South Africa”, Global Journal ofEngineering Education, vol 23, no. 3, pp. 220, Dec. 2019.[8] L. S. Nadelson, P. L. Dickrell, K. DeJesus, “Mentoring for Making: Peer Mentors Workingwith Learners in a Making-Focused Engineering Course”, Presented at the 2024 ASEE AnnualConference & Exposition, Portland, Oregon, USA, June 2024, doi: 10.18260/1-2--47770[9] A. C. Alves, F. Moreira, C. P. Leão, S. Teixeira, “Tutoring Experiences in PBL of IndustrialEngineering and Management Program: Teachers vs Students”, Presented at the ASME 2017International Mechanical
Copyright © 2025, American Society for Engineering Education 7Essa, S., Çelik, T., & Human-Hendricks, N. (2023). Personalized adaptive learning technologies basedon machine learning techniques to identify learning styles: A systematic literature review. IEEE Access,11, 48392–48409. https://doi.org/10.1109/ACCESS.2023.3276439Farrelly, T., & Baker, N. (2023). Generative artificial intelligence: Implications and considerations forhigher education practice. Education Sciences. https://doi.org/10.3390/educsci13111109Figueroa, B., & Eaton, S. (2023). Examining recommendations for artificial intelligence use withintegrity from a scholarship of teaching and learning lens. RELIEVE - Revista
Luj´an-Mora. Towards an accessible mobile serious game for electronic engineering students with hearing impairments. In 2018 IEEE world engineering education conference (EDUNINE), pages 1–5. IEEE, 2018. [8] Rashid R Fayzullin, Ilya M Lerner, Natan M Solodukho, Svetlana S Dymkova, and VI Il’in. Formation of a competency model in teaching students of technical universities with hearing impairment, which implements a conveyor-based approach to learning. In 2021 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO, pages 1–4. IEEE, 2021. [9] Olena Morozenko and Natalia Gribanova. Innovative approaches and information technologies to improve the quality of teaching graphic
Assistant Professor in the College of Engineering at West Texas A&M University,specializing in Engineering Technology. His work bridges engineering and agriculture through technology andprecision management, focusing on smart technologies, automation, and data analytics in modern agriculturalsystems. His teaching and research emphasize real-world applications, industry collaboration, and innovativeproblem-solving in digital and smart agriculture.AUDREY MEADORDr. Meador holds a B.S. and M.S. in Mathematics from West Texas A&M University and a Ph.D. in Curriculumand Instruction with an emphasis in Mathematics Education from Texas Tech University. She is an AssociateProfessor in the Department of Mathematics at West Texas A&M University
Paper ID #49648Student Readiness for AI-Driven Teaching Tools: A Data-Driven PerspectiveRojan Shrestha, The University of Texas at Arlington Rojan Shrestha is an undergraduate Sophomore at University of Texas at Arlington. He is currently majoring in majoring in Computer Engineering. His research interest includes computer vision, machine learning, and artificial intelligence applications. ©American Society for Engineering Education, 2025 Student Readiness for AI-Driven Teaching Tools: A Data-Driven Perspective Rojan Shrestha Computer Engineering, The University of Texas at Arlington
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
received her PhD in Mechanical Engineering from University of New Hampshire, USA and B.Tech [Hons.] in Ocean Engineering & Naval Architecture from Indian Institute of Technology, Kharagpur, India. Her research interests include Computational Fluid Dynamics (CFD), Numerical Analysis and Applied Mathematics, Heat Transfer Applications, Mechanical Design, Nanotechnology, HP/HT Rheology. She also has strong industrial experience as a Senior Technical Professional at Halliburton [Oil-well Cementing Research & Development].Danaii Anitzel Elizondo, Texas A&M University ©American Society for Engineering Education, 2025 The Impact of Classroom Learning in Smaller Classroom Sizes
. 2 INTRODUCTION In 2024, the College of Engineering and Technology at Weber State University (WSU), aregional teaching university in the western United States, developed a STEM-focused andtuition-free summer bridge program to benefit students in the local community who have beenhistorically underrepresented in STEM fields. The summer bridge program seeks to supportinstitutional objectives of growing enrollments, community engagement, increasing access inaddition to attracting students to academic programs within the college of Engineering andTechnology (Lenaburg et al., 2012). Several measurable goals were created to guide the designand implementation of the summer bridge program including
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
Software Engineer in India, specializing in software design and development for enterprise applications. She is committed to advancing educational technology and addressing real-world challenges through innovative computing solutions.Dr. Fazil T. Najafi, University of Florida For more than 40 years, Dr. Najafi has worked in government, industry, and education. He earned a BSCE 1963 from the American College of Engineering, University of Kabul, Afghanistan. In 1966, Dr. Najafi earned a Fulbright scholarship and did his B.S., MS, and Ph.D. degree in Civil Engineering at Virginia Polytechnic Institute and State University, Blacksburg, Virginia; his experience in industry and government includes work as a Highway
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
Paper ID #49534Spark of Imagination CapstoneGrace Hattery, Ohio Northern University Grace Hattery is a Senior at Ohio Northern University pursuing a Mechanical Engineering Major and a Entertainment Design and Production Minor.Dr. Stephany Coffman-Wolph, Ohio Northern University Dr. Stephany Coffman-Wolph is an Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Previously, she worked at The University of Texas at Austin and West Virginia University Institute of Technology (WVU Tech). She is actively involved in community outreach with a goal
$10k/yr $25k/yrPros: Well-known technology with specifically engineered systems for leachate treatment. ROmembranes can be cleaned in-house using a Clean In Place (CIP) system, reducing the OPEXsince you don’t have to keep buying new membranes, but you do have to buy the cleaningchemicals.Cons: Hardness and aluminum in the water can cause fouling of the membranes. A liquid brinestream will still require off-site disposal (brine is the concentrated waste stream with the rejectedmetals/salts/etc). Can require pre-treatment to avoid fouling the membranes. A liquid brinestream will require off-site disposal. The ability to meet the discharge limits for the boron anduranium is not certain without treatability testing ($20k test
, 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
statistical data analysis. As an electrical and biomedical engineering scientist, he conducted research in computer modeling of the brain, cranial electrical stimulation (CES), electrical impedance tomography, electrode design, and EMG and muscle action potentials and ions channels simulation & modeling. His technical research interests include digital systems, embedded, systems, computer architecture, adaptive and system identification, modeling and simulation, and signal and image processing. His clinical research interests include impacts of chronic diseases in elderly (such as Alzheimer’s disease, cancer, and diabetes), innovative technology for drug addiction treatment and prevention, medical records, comparative
language processing for automated grading and feedback generation, multi-modal learning (integrating vision and language models), and generative AI. Her broader interests include sustainable computing, IoT, and the development of smart cities and connected environments. Prior to her graduate studies, she accumulated three years of professional experience as a Software Engineer in India, specializing in software design and development for enterprise applications. She is committed to advancing educational technology and addressing real-world challenges through innovative computing solutions.Dr. Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College Rajarajan Subramanian currently
Paper ID #45758Creating Opportunity from Challenge: A Virtual Approach to Building STEMConfidence and SkillsFrank Andrasik, The University of MemphisDr. Bashir Morshed, Texas Tech University Dr. Morshed is an Associate Professor in the department of Computer Science at Texas Tech University since 2020. He was an Assistant/Associate Professor in the Department of Electrical and Computer Engineering at the University of Memphis since 2011. He has received the B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2001. He then completed the M.Sc. degree in Electrical
Paper ID #45545Performance Unveiled: Comparing Lightweight Devices Testbed and VirtualMachines for Edge ComputingMs. Faiza Akram, Mississippi State University Faiza Akram received a B.S. degree in Telecommunication and Networking from COMSATS University Islamabad, Pakistan in 2015. She received her M.S. degree in Computer Science from University of Engineering and Technology, Pakistan in 2018. She is currently pursuing her Ph.D. degree in Electrical and Computer Engineering from Mississippi State University (MSU) at Starkville since 2022. Her current research interests include Resource optimization in Edge Computing and
Paper ID #45472Innovative Approaches to Medical Device Design Education: A CollaborativeIndustry-Academia ModelDr. Vivek Singhal, University of Wisconsin - StoutDr. Kenan Baltaci, University of Wisconsin - Stout Kenan Baltaci is an Assistant Professor at University of Wisconsin-Stout, in the Electrical Engineering Technology Department. He received B.S. in electrical engineering degree from Istanbul Technical University in Turkey. Following, a masterˆa C™s degree a ©American Society for Engineering Education, 2025 Innovative Approaches to Medical Device Design Education: A Collaborative
Paper ID #49626Exploring Open Lab Experiences to Enhance Fluid Mechanics EducationDr. Carmen Cioc, The University of Toledo Dr. Carmen Cioc is an Associate Professor in Mechanical Engineering Technology (MET) at The University of Toledo.Dr. Sorin Cioc, The University of Toledo Dr. Sorin Cioc is a clinical associate professor and undergraduate program director in the Department of Mechanical, Industrial, and Manufacturing Engineering (MIME).Dr. Noela A. Haughton, The University of Toledo Dr. Noela A. Haughton is an associate professor of Education (Research and Measurement program) in the Judith Herb College of Education
Paper ID #49535Stepping Back from a Digital Age: Paper and Pen Coding Exams in a postGenAI worldMr. Lance Leon Allen White, Texas A&M University Lance White is a Ph.D. student at Texas A&M University in Interdisciplinary Engineering with a thrust in Engineering Education. He is working as Lecturer for the Engineering Academic and Student Affairs group in the College of Engineering. ©American Society for Engineering Education, 2025 Stepping Back from a Digital Age: Paper and Pen Coding Exams in a post GenAI world
development of smart textiles includes embedding fostered a culture of shared ideation and cross-disciplinarysensors into clothing to track physiological data in real-time. In engagement, using mostly pencils, gray markers and whitethe commercial market, other wearable devices such as fitness paper. What started as an internal effort to boost designbands, smartwatches, e-textiles, and implantable sensors now sketching, gradually drew-in engineers, model makers, anduse technologies like Bluetooth, RFID, Wi-Fi, GSM, and NFC, even patent attorneys, where everybody observed the processand contribute to the broader trend of personalized health of communicating ideas in a comprehensive format. Thismanagement
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Teaching Students Essential Survival Skills in the Age of Generative Artificial Intelligence: Critical Thinking, Digital Literacy, and Cybersecurity AwarenessTeresa Piliouras, Steffi Crasto, Chinmay Dharap, and Navarun Gupta Pui Lam Yu Department of Electrical EngineeringCenter for Advanced Research on Emerging Technologies University of Bridgeport TCR, Inc. Bridgeport, CT, United States Weston
universities. Among the 39institutions, just six offer ABET-accredited engineering and technology programs [34]: • Bluefield State University, which provides degrees in Electrical Engineering Technology with a focus on power systems related classes • BridgeValley Community and Technical College, which provides programs in engineering technology • Fairmont State University, which provides programs in engineering technology • Marshall University, which provides degrees in electrical, mechanical, and civil engineering with power system classes 12 • West Virginia University (WVU), which has significant heritage and
research interests include impacts of chronic diseases in elderly (such as Alzheimer’s disease, cancer, and diabetes), innovative technology for drug addiction treatment and prevention, medical records, comparative outcomes research, and biomedical sciences. He has successfully published several peer-reviewed articles in biomedical sciences, physical medicine and rehabilitation, modeling and simulation of physiological signals, motion analysis, and engineering. ©American Society for Engineering Education, 2025 Applications of Computer Vision Segmentation in Hematology and Blood Cell Medical Imaging James Gao