Collection

2025 Northeast Section Conference

Authors

Shinae Jang P.E.

goals and the collaborative nature of two Career Readiness modules were integrated into the coursethe planned activities. Since engineering problems often as extra-credit opportunities on the Blackboard site. Theserequire collective problem-solving and clear communication modules, developed by our institution’s Center for Careeramong team members, integrating these skills into the Readiness and Life Skills, include the Career & Self-curriculum helps students develop essential professional Development module and the Networking and Elevator Pitchbehaviors early in their education. The course structure, which module. Upon completing both modules, students earn oneincludes weekly team-based problem

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

adaptive learning support, helping students identify While AI's impact in general education is weaknesses and improve their skills [6].substantial, its role in engineering education isparticularly transformative; AI in engineering is The educational AI research community is driven byincreasingly assisting machines and engineering systems ethical concerns, aiming to enhance students' learningto achieve their goals more effectively. Applications outcomes and lifelong opportunities. However, as seensuch as Innovations in autonomous cars, collaborative in other AI applications, good intentions alone do notrobots, unmanned aircraft, self-supervised guarantee

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

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

Collection

2025 Northeast Section Conference

Authors

Samuel Servati; PS. Dhanasekaran

Project-Based Learning in Engineering Programs: Aassessments, industry feedback, and performance- Review of the Literature." Educ. Sci., vol. 14, no. 10, pp.based criteria to ensure a comprehensive 1107, 2024. DOI:understanding of student achievements. Faculty https://doi.org/10.3390/educsci14101107.adaptation is another crucial factor in the success ofPBL. Many educators, particularly those trained intraditional lecture-based instruction, may struggle tofacilitate hands-on, project-driven learningexperiences. Investing in faculty training programs,fostering collaborations with industry professionals,and integrating

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

routinely collaborate with AI co-workers to must proactively develop strategies to integrate these tools in aimprove efficiency and creativity in problem-solving. responsible, effective, and sustainable manner. Based on current research and trend analyses, several key strategies and Given these industry trends, engineering education is future directions emerge for stakeholders in engineeringtasked with preparing students for a workforce where AI education.literacy is a key competency. The current state of manyengineering curricula, however, does not yet fully reflect this A. Raising Awareness and Building AI Literacyshift. Johri

Collection

2025 Northeast Section Conference

Authors

Shruti Brahma, University of New Haven; Siddhant Alhat Rajendra, University of New Haven; Ardiana Sula, University of New Haven

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Data-Driven Decision Making for Enrollment Trends and Educational Policy Analysis in Higher Education Shruti Brahma Siddhant Alhat Rajendra Ardiana Sula Department of Computer Science Department of Computer Science Department of Electrical and Computer University of New Haven University of New Haven CT, Engineering, CT, USA USA Computer Science, sbrah2@unh.newhaven.edu

Collection

2025 Northeast Section Conference

Authors

Bushra Rayyan Qadri; Arthur McAdams; Peter Cavanaugh; Dan Tenney; Ali Baker

divided into multiple schools/departments: School ofManagement (1911) was the basis for well-structured Engineering and Technology, Trefz School of Business, andcollaborations through defined roles in the industry world. In College of Arts and Sciences, School of Education, School ofaddition, Peter Drucker (1954) later emphasized the need for Health Sciences, School of Nursing and School ofadaptability and cross-disciplinary collaboration in modern Chiropractic. Each school focuses on its area of knowledge.management [3]. Within each school, there is a department that manages all the programs

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; Vraj Patel; Tina Huey

,,” https://tech.ed.gov, 2023. Building on the findings of this study, future research [10] Z. Xu, “Ai in education: Enhancing learning experiences and studentshould explore the long-term impact of AI integration on outcomes,” Applied and Computational Engineering, vol. 51, pp. 104–student learning outcomes, teaching practices, and institutional 111, 03 2024.policies. Studies could also examine how AI tools influence thedevelopment of critical thinking, creativity, and collaboration

Collection

2025 Northeast Section Conference

Authors

Tariq A. Alshugran; Lina H. Kloub, University of Connecticut

settings. Expanding the dataset diversityF. System Workflow and Data Flow Diagram and refining the integration of SLM and LLM architectures can further optimize performance. Additionally, collaboration The workflow involves: 1. Collecting student input data with policymakers can help establish clearer guidelines forand preprocessing it via the SLM. 2. Anonymizing and struc- AI-driven educational applications while ensuring complianceturing the input to remove identifiable elements. 3. Sending

Collection

2025 Northeast Section Conference

Authors

ZANNATUN NAYEEM; Tauhid Uddin Mahmood; Dan Tenney

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. An Educational Approach to Best Practices for Improving Operational Analytical Data Integration Success Zannatun Nayeem Tauhid Uddin Mahmood Dan Tenney Analytics and Systems, School of Analytics and System, School of Technology Management, School Business Business of Engineering University of Bridgeport University of University of Bridgeport Bridgeport, Connecticut, USA

Collection

2025 Northeast Section Conference

Authors

Susrutha Babu Sukhavasi; SUPARSHYA BABU SUKHAVASI

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Exploring AI in Education: A Review of Its Impact on Classrooms, Learning Management, and Pedagogical Strategies Susrutha Babu Sukhavasi Suparshya Babu Sukhavasi Electrical and Computer Engineering Electrical and Computer Engineering Wentworth Institute of Technology University of New Haven Boston, MA, USA. West Haven, CT, USA. sukhavasis@wit.edu

Collection

2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

rsamsami@newhaven.edu Corresponding Author: Reihaneh Samsami (rsamsami@newhaven.edu) Abstract—As Artificial Intelligence (AI) continues to Generative AI has drastically altered the educational transform the engineering setting, its integration into setting by automating tasks and generating new content, engineering education emerges as a critical element in which can significantly aid in educational processes. equipping future engineers. This paper presents a survey According to Guillén-Yparrea and Hernández-Rodríguez study aimed at evaluating the adoption and impact of AI tools and methodologies within engineering curricula

Collection

2025 Northeast Section Conference

Authors

Eric P. Flynn; Arthur McAdams

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. The Utilization of AI in Engineering Design A Business Approach Eric P. Flynn Arthur McAdams College of Engineering, Business, and Education College of Engineering, Business, and Education University of Bridgeport University of Bridgeport Bridgeport, CT, USA Bridgeport, CT, USA erflynn@my.bridgeport.edu

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; Christina Smith, University of Connecticut; Faiyhaa-Sydra Saulat, University of Connecticut

tools, such as adaptive feedback systems,hance students’ communication, problem-solving, and teamwork collaborative platforms, and virtual learning environments,abilities. By examining the growing role of AI in education andits alignment with NACE competencies, this research highlights have the potential to enhance students’ learning experiencesits transformative potential in preparing students for successful by offering personalized instruction and real-time feedback,careers in engineering. helping them develop the skills needed for career success. Index Terms—AI, Artificial Intelligence, NACE, career com

Collection

2025 Northeast Section Conference

Authors

Mohamed Elwakil; Tooran Emami Ph. D.

protocols. Modular to tackle interdisciplinary challenges, from optimizing energyworkshops on prompt crafting, offered early in the term, provide systems to simulating engineering scenarios. The universala low-barrier entry point across disciplines. Collaborative relevance of prompt engineering and its adaptability toactivities, such as peer reviews of prompts, further reinforce discipline-specific needs suggests it will play a pivotal role inlearning. Educators can cultivate AI literacy by aligning prompt bridging the gap between human expertise and machineengineering with existing learning objectives—whether capabilities in the workforce.automating technical tasks or solving applied problems

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

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

Collection

2025 Northeast Section Conference

Authors

Terri A. Camesano; Elizabeth Wilson; Valerie Smedile Rifkin

market need, many adult learners, especially those with families or full-timeand where we had a chance to provide a unique and employment, committing to a traditional, full-time, in-persondifferentiated experience. We were also very interested in graduate or post-baccalaureate program is simply not feasible.exploring partnerships that could lead to broader reach. We This has led to an increased need for alternative pathways todeveloped the Systems Engineering Awareness Digital Badge educational attainment. Working professionals have pushed forProgram to enhance the understanding and application of SE shorter, timely, and highly focused educational opportunities toconcepts

Collection

2025 Northeast Section Conference

Authors

Bala Maheswaran; Meghna Sridhar; Yiannis Levendis; Hameed Metghalchi

fostered a Sustainable Engineering Mindset, rather than on the specifics of project design, prototypeIn recent years, engineering education has increasingly development, or data collection and analysis, which will befocused on developing students' competencies in discussed in a separate publication. The heliostat projectsustainability, especially in renewable energy technologies. required students to draw on knowledge from multipleAmong these, solar power holds significant potential, with engineering disciplines, offering opportunities forheliostats playing a critical role in concentrated solar

Collection

2025 Northeast Section Conference

Authors

Joseph P. Duszak; John F. Drazan; Cynthia A. Bautista

] G. Oliveira Silva et al., “Effect of simulation on stress, anxiety, and self-confidence in nursing students: Due to the perceived and measured benefits of VR HMDs Systematic review with meta-analysis and meta-currently being used in nursing education, it is important that regression,” Int. J. Nurs. Stud., vol. 133, p. 104282, Sep.adequate support and resources be provided to further 2022, doi: 10.1016/j.ijnurstu.2022.104282.facilitate the development of these technologies. Engineers are [10] D. de Giovanni, T. Roberts, and G. Norman, “Relativeuniquely positioned to partner with nursing professionals to

Collection

2025 Northeast Section Conference

Authors

Elizabeth O'Connell; Sarath Chandra Kumar Jagupilla; Muhammad Hajj

and Ocean Engineering Abstract— As college costs increase, students and their compared to the 2023-2024 academic year. During a 30-yearfamilies are under increasing pressure to find supplements to period, the tuition and fee price for full-time students athelp cover undergraduate education costs. This study examines private nonprofit four-year institutions has risen from $24,840the impact of department-level communications on securing in 1994-1995 to its current level, presenting a 74.5% increasemore external scholarships to undergraduate engineeringstudents. It further analyzes the number of external scholarships

Collection

2025 Northeast Section Conference

Authors

Navarun Gupta; Deana DiLuggo; Junling Hu; Abhilasha Tibrewal; Ahmed Elsayed; Theresa Bruckerhoff

, theresa@creus.com jjhu@bridgeport.edu, abhilash@bridgeport.edu, aelsayed@bridgeport.edu Abstract—The University of Bridgeport (UB) received Achieve) is an NSF IUSE: HSI project funded under thefunding from the National Science Foundation's Division of Planning or Pilot Projects (PPP) track for the purposes ofUndergraduate Education through its IUSE: HSI Initiative in thesummer of 2022 to increase retention, persistence, preparedness, planning a process for building capacity and enhancingand graduation rates of students majoring in Computer, undergraduate STEM education at less-resourced institutionsElectrical, Mechanical Engineering, and Computer Science (CS) as a means of increasing

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

I. INTRODUCTION Abstract— Generative artificial intelligence (Gen AI) usesalgorithms to create new content including images, computer In academia and beyond, AI-generated material is highlycode, audio, presentations, simulations, animations, and more. In accessible with a relatively low-sloped learning curve, makinga Human-Machine Systems Engineering (HMS) course, the use it readily available to those with electronic devices and internetof Gen AI was discussed, addressed, and integrated with connections. Many students in higher education are now usingintentionality. The full infusion process in the course was gradual Gen AI extensively to construct written reports, summaries,and measured

Collection

2025 Northeast Section Conference

Authors

Saddam Alkhamaiesh; Peter Cavanugh

. Q. Patton, Qualitative Research and Evaluation Methods, 3rd ed. and Workforce Planning: Challenges and Best Practices.” Available: Thousand Oaks, CA: Sage, 2002. https://www.nrel.gov/transportation/ev-workforce.html [35] C. Cassell and G. Symon, Essential Guide to Qualitative Methods in[9] S. Alkhamaiesh, “Stakeholder Collaboration in EV Workforce Organizational Research, Thousand Oaks, CA: Sage, 2004. Training: A Thematic Analysis,” Proceedings of the American Society for Engineering Education (ASEE), 2024. [36] R. Yin, Case Study Research and Applications: Design and Methods

Collection

2025 Northeast Section Conference

Authors

Teresa Piliouras; Steffi Crasto; Chinmay Dharap; Pui Lam Yu; Navarun Gupta

psychologists and behavioralmisinformation, and digital threats. However, because these economists have focused on revealing ways in which humanskills are often taught inconsistently, in isolation, or overlooked reasoning is prone to error. Research by Kahneman, Tversky,entirely, many individuals lack awareness of their importance and others has shown that even highly educated individualsand fail to apply them—particularly when they are cognitively frequently rely on cognitive shortcuts—biases and heuristicsoverloaded or are being targeted by social engineering and —that lead to systematic errors in judgment [4]-[13].online manipulation [1], [2]. Recognizing these biases is

Collection

2025 Northeast Section Conference

Authors

Rachmadian Wulandana

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

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut

, including guidelines, prompt engineering, abling tailored implementation that addressed students’ initialinteractive exercises, collaborative projects, interview prepara- uncertainties while promoting inclusivity and adaptability, astion, and critical engagement with AI limitations. However, guided by UDL principles. For instance, prompt engineeringit is designed to be flexible, allowing instructors to adapt empowered students to engage critically with AI throughsome or all components based on their course needs and targeted prompts, while interactive exercises leveraging activepedagogical goals. Educators may begin with the foundational

Collection

2025 Northeast Section Conference

Authors

Peter F. Cavanaugh

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

Collection

2025 Northeast Section Conference

Authors

Boluwatife E. Faremi; Javier O. Pinzon-Arenas; Amir Mohammad Karimi Forood; Josef Kundrat; Hugo F. Posada-Quintero; Ann Marie Hoyt-Brennan; Wendy A. Henderson

the successful adoption of AI in healthincreasingly being used to address critical challenges in various professional education [3]. Trust in technology has beenaspects of healthcare, from diagnostics to therapeutics. While AI investigated from a psycho-physiological perspective acrossoffers immense potential to improve clinical decision making, the diverse domains from driving simulation to virtual reality andtrust of intended users (e.g., nurses and physicians) inthese systems remains largely unexplored. This study collaborative robotics [4], [5], [6]. Yet, a significant gapaddresses the gap in medical education by investigating how

Collection

2025 Northeast Section Conference

Authors

Nadia Albishi; Peter Cavanaugh

families[11]. These concerns must be addressed if educational effortsare to reach their full potential and if Saudi Arabia's youth are tobe prepared for a future of global competition. A major issue in the implementation of educationalinitiatives in Saudi Arabia is the inadequate dissemination ofinformation regarding new program objectives and standards.Educators find it difficult to take part in the exercises completelybecause of the absence of clearness, which sets them in a placeof vulnerability. Additionally, the top-down decision-making Figure 3: Rogers' Diffusion of Innovationstyle of the system gives teachers the impression that change isforced on them rather than the result of a collaborative effort[57]. The failure of

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

broaderall AI opponents, unlike many others who did not face off awareness of AI functions. Through engaging with various AIagainst every AI character. Secondly, by concentrating on a characters, Caleb's game play served as an interactive journey.single participant's interactions across the entire spectrum of AI The experience highlighted adaptation, collaboration, andopponents, we aimed to glean more detailed insights into how a intuitive learning within an AI-driven educational framework.young candidate would adapt and respond to varying AIstrategies. Caleb's trials encompassed five distinct interactionsagainst all of AI opponents. His performance has been