Collection

2025 Northeast Section Conference

Authors

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

(AI) has enhance learning experiences. Additionally, concerns over AI’sintroduced transformative opportunities in education, ranging potential to exacerbate existing educational inequities—suchfrom automated grading and intelligent tutoring to person- as disparities in access to AI resources or biases in AI-alized learning and curriculum design [1]. These tools have generated recommendations—underscore the need for inclu-the potential to revolutionize teaching and learning, offering sive and responsible AI policies.educators new ways to enhance efficiency, engage students,and provide adaptive support tailored to individual needs. II. L ITERATURE R

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

technology, ethical concerns related to intellectualproperty and academic integrity are becoming Using AI in Education despite its numerousincreasingly intricate and nuanced [1]. Furthermore, benefits, the application of AI in education comes withcertain AI applications may give rise to new ethical and its own set of challenges. AI systems rely on vastlegal challenges, such as liability issues or the potential amounts of data for accurate functioning, and with thefor biased decision-making. The broader ethics of increasing digitization of education, concerns about dataartificial intelligence has attracted considerable attention misuse and privacy breaches have intensified. Moreover,[7

Collection

2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

(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

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

somewhat polarized, not readily apparent from As detailed above, Question 2 requested a listing of any the subcategories: On one hand, several students realized inperceived drawbacks, limitations and/or concerns related to the advance that AI was not likely to afford them the creativity anduse of generative AI. Table II presents the summary of innovative assistance that was required for their topic and thusresponses for Q2. Note that of the total 56, two students did not rely heavily on it. However, other students wereanswered that there were “none” or “no issues” and those were disappointed that they did not get the inspiration and

Collection

2025 Northeast Section Conference

Authors

Rachmadian Wulandana

Analysis (FEA) use AI tools, particularly version of ChatGPT to approximately 500,000 students andChatGPT, to support their learning. A survey examined whether faculty members across 23 campuses [4]. This initiative aimedAI tools help students understand concepts, solve problems to provide personalized tutoring and assist faculty withefficiently, and enhance convenience with 24/7 availability. It also administrative tasks. Similarly, Estonia launched a nationaladdressed their motivational impact, reliability, and concerns initiative in February 2025 to teach AI skills to high schoolabout dependency. The survey statements included questions students, partnering with tech companies like OpenAI

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

the guidance of NIST AI Risk Management Electronic Frontier Foundation (EFF) [1], or many years,Framework, an AI security management strategy and Vygotsky’s students have contended with invasive technologies in schools.sociocultural theory, a transformative pedagogy, this study These have included student monitoring software, remoteexplores how AIOEP can mitigate the risks and concerns proctoring tools, learning management systems, cameras, facialintroduced by GenAI in academia while cultivating both students recognition, and biometric systems. AI detection software is aand educators the effective and ethical use of GenAI. new, dangerous tool added to this list. Tools like

Collection

2025 Northeast Section Conference

Authors

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

feedback, support decision- where collaboration with AI systems is becoming increasinglymaking, and optimize project management. essential. However, to maximize the benefits of AI integration, institu- IV. C HALLENGES AND C ONSIDERATIONS tions must also navigate challenges such as access disparities, While AI tools offer transformative benefits in enhancing ethical concerns, and potential over-reliance on AI systems.career competencies such as communication, problem-solving, By implementing thoughtful AI policies, faculty training pro-and teamwork, their

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Engineering Education in the Era of Generative Artificial Intelligence (Gen AI): Current State and Future Directions Kalyan Khatry Reihaneh Samsami University of New Haven University of New Haven Electrical & Computer Engineering and Computer Civil and Environmental Engineering Department Science Department West Haven, U.S West Haven, U.S

Collection

2025 Northeast Section Conference

Authors

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

not necessarily reflect those of the National Science Foundation.compensate the faculty for credit overload to ensure that thefaculty had the opportunity to serve as teachers of record forthe new course. REFERENCES The research course was designed to address theneeds of all students, especially Hispanic students who may [1] Barkana, B. D., & Badara, I. A., & Gupta, N., & Hu, J., & Mahmood, A. (2023, March), Self-evaluation of the Introduction to Scientific Researchenter UB as engineering

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

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

/university) and or fabricate fake personas for identity theft and fraud.individuals in the workplace to become discerning users and Simultaneously, news and information sources areethical stewards of technology. Key themes include: i) Buildingthe Learning Paradigm: Establishing critical thinking, digital harder to authenticate, with contradictory narrativesliteracy, and cybersecurity as foundational elements in education emerging across outlets, making it increasinglyand workplace training. Understanding ethical, social, and difficult to assess accuracy

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Enhancing Engineering Curricula Through Laboratory-based Learning: Pedagogical Approaches, Challenges, and Innovations Marvin Gayle, Danny Mangra Queensborough Community College The City University of New York [CUNY] Queens New York, USA Abstract—Laboratory-based instruction is a critical underscore ways to evaluate the effect of laboratory education oncomponent of engineering education. It