Collection

2025 Northeast Section Conference

Authors

Mohammad Rafiq Muqri; Simon Obeid; Gusteau Duclos, DeVry University

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Generative AI in Education: Platforms, Applications, and Ethical Considerations Muqri, Mohammad Obeid, Simon College of Engineering and Information Science College of Engineering and Information Science DeVry University DeVry University Ontario, CA Allentown, PA mmuqri@devry.edu SObeid@devry.edu

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2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. AI in Engineering Curricula: Adoption, Challenges, and Ethical Considerations Among Engineering Students Seyedeh Elham Kamali Reihaneh Samsami (Ph.D., P.E.) Department of Mechanical and Industrial Engineering Department of Civil and Environmental Engineering University of New Haven University of New Haven, West Haven, U.S. West Haven, U.S skama12@unh.newhaven.edu

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

privacyconcerns. As AI increasingly enhances students' learning, time feedback, and intelligent administrative support.these innovations may overshadow critical ethical issues. AI-supported classrooms have been found to improveTeachers play a crucial role in ensuring that AI is used engagement and student achievement compared toethically in education, and their training needs to be traditional methods. Computer-based education is set tocomprehensive in addressing these concerns. AI transforms become an integral part of the 21st century, with AIeducation by focusing on students' needs and aiding playing a crucial role in this transformation. It is essentialeducators in developing personalized

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub; Vraj Patel; Tina Huey

misinformation, over-reliance on technology, academic paradox highlights the complex and evolving nature of instruc-dishonesty, algorithmic bias, and data privacy. These findings tor perspectives on AI adoption.highlight the necessity of transparency, ethical AI development,and regulatory oversight to build trust. Addressing these chal- Building trust in AI tools is a crucial factor in theirlenges is vital for successfully integrating AI into education, successful implementation. Studies have shown that trust infostering an inclusive and dynamic learning environment. This AI among educators depends on multiple factors, includingstudy offers valuable insights for future research and practice

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub

students navigate complex concepts, foster collaboration,fidence in ethical considerations, greater appreciation for AI’srole in learning, and improved career readiness. The results and build career competencies in line with the Nationalhighlight the transformative potential of AI when thoughtfully Association of Colleges and Employers (NACE) standards [7].integrated into coursework, fostering an inclusive environment To measure the effectiveness of these interventions, surveysthat enhances academic and professional development. This were conducted at the beginning and end of the semester.paper discusses the methodologies, findings, and implications for The findings reveal a shift in students

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

systems, personalized assessments, and competency-presenting both unprecedented opportunities and formidable based models, are discussed alongside real-world applicationschallenges. This study describes the transformative role of of Gen AI in engineering practice. At the same time, criticalgenerative AI in engineering education and identifies both the ethical considerations (academic integrity, bias, and fairness)potential benefits and the inherent dangers. Academic integrityissues, overdependence on AI-generated solutions, and the are looked at as challenges that must be managed

Collection

2025 Northeast Section Conference

Authors

Peter F. Cavanaugh

itslearning success. The dimensions of learning objective educational integrity even when AI tools are used.attainment are: Educators should identify tasks where AI assistance • Cognitive Depth - The cognitive complexity of an does not compromise the learning process but rather assignment can be measured using Bloom’s enhances it. Designing assignments that require human Taxonomy, which classifies learning into hierarchical judgment, ethical considerations, and nuanced levels: remembering, understanding, applying

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

Jun Zhang; Peter Cavanaugh; Dan Tenney

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

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2025 Northeast Section Conference

Authors

Yegin Genc; Gonca Altuger-Genc; Akin Tatoglu

area for engineering educators. Lee et al. [12] Uhlig et al. [19] emphasized the importance of teaching students how to use GenAI ethically and mentioned that ethics concerns are present with every new technology. Hooper et al. [20] examined AI and Ethics concepts and developed pre and post-learning is pretty straightforward, the processes to accomplishit, namely self-directed learning, have been defined differentlyethics. Responsible and ethical use of any support

Collection

2025 Northeast Section Conference

Authors

Tariq A. Alshugran; Lina H. Kloub

approaches to GenAI regu-hybrid AI approach that safeguards student data while enabling lation, from strict AI bans in assessments to AI-integratedAI-driven learning in compliance with privacy regulations. curricula with clear ethical guidelines. Table I summarizes different institutional policies regarding AI in education and II. BACKGROUND AND R ELATED W ORK privacy protection. Generative AI (GenAI) has demonstrated significant tabularxpromise in enhancing educational methodologies, improv-ing personalized learning, and automating administrative TABLE I

Collection

2025 Northeast Section Conference

Authors

Shohana Iffat

in classroom education, transportation, computer large number of research articles.programming, construction, space science, engineering, medicalindustry, and many other scientific and technological arenas. Concrete is one of the commonly used construction materialsNevertheless, AI is considered prohibited in many circumstances utilized worldwide because of the availability of its ingredientsdue to ethical concerns, trepidations of job displacement, and its and its relatively easier application. However, application ofportrayal in media. This combination of ethical, economic, and concrete in complex geometric structures, e.g., tunnels,cultural factors drives suspicion and agitation against AI

Collection

2025 Northeast Section Conference

Authors

Basile Panoutsopoulos

always the case, technology can be used positively or corresponding answer is shown in Fig. 2.negatively, ethically or unethically. The goal of thisprogramming course, as with every other course, is to educatethe students to fulfill the course’s outcomes successfully. Theysay, “If you can't beat them, join them.” This seems to be theideal case to apply this saying here. II. USE OF AI IN THE COURSE Fig. 1. Interaction of use AI.A. The Proposal We shall avoid proposing to exclude AI from the course ormuch more from the curriculum. This would be something outof anybody's control, much more of the instructor. On thecontrary, we propose an approach to incorporate AI in thecourse in a beneficial way

Collection

2025 Northeast Section Conference

Authors

Rachmadian Wulandana

practices. The results suggest a need for University [7]. A study on the impacts of AI tools on,better awareness and guidance on effectively utilizing AI tools in specifically, mechanical engineering curriculum underscorestechnical education. This study may guide educators in the importance of acknowledging the growing impact ofpromoting the adoption of AI tools in engineering education advanced GenAI tools in education and professional settings.while encouraging critical thinking, ethical use, and a balance The study concluded that rather than dismissing them outright,between AI reliance and traditional learning approaches. institutions, educators, and organizations should adopt a

Collection

2025 Northeast Section Conference

Authors

Jorge Paricio Garcia; Paul Spirito

healthcare solutions, as well as raises concerns about AI’s role inhealthcare, with data privacy and the ensuing ethical concerns.At this point, designers, Angell declares, must be the ethicalstewards especially when there is the potentiality that AI mightdeviate from the primary directive of human survival. In the 21st century, wearable technology has seenremarkable advancements, particularly in health monitoring.Wearable sensors have evolved from single parameter monitorsto multi-parameter systems that provide more comprehensivehealth data points. Early developments included bed sensorsfor elder care in 2008 and intelligent bed sensing systems in Fig. 2. Concept

Collection

2025 Northeast Section Conference

Authors

Susrutha Babu Sukhavasi; SUPARSHYA BABU SUKHAVASI

, we also discussed the impacts lessons in mathematics, adjusting based on the learner’sof integrating this technology, such as ethical principal ability and pace. Studies show that students using ITSissues, negative aspects and highlighted the possible outperform traditional learners in standardized tests bysolutions which have been introduced to address the approximately 15-30% [1].influencing factors on students. Case Study: Carnegie Learning reports that students using their AI-driven platform significantly improved their math proficiency

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2025 Northeast Section Conference

Authors

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

Mem- • Equity and Inclusion: Demonstrating awareness and phis developed AutoTutor, an intelligent tutoring system that inclusivity in diverse environments. engages students in natural language dialogues. By simulating • Leadership: Recognizing personal and team strengths to human-like conversations, AutoTutor fosters students’ ability achieve common goals. to articulate technical content effectively, enhancing both their • Professionalism: Exhibiting ethical

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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

,10.1093/jamia/ocae209. Challenges, and Ethical Considerations,” J Med Edu, vol. 22, no. 1, Jan. 2024, doi: 10.5812/jme-140890.[4] K. Gupta, R. Hajika, Y. S. Pai, A. Duenser, M. Lochner, and M.Billinghurst, “In AI We Trust: Investigating the Relationship between [9] F. Li and S. Betts, “(PDF) Trust: What It Is And What It Is Not,”Biosignals, Trust and Cognitive Load in VR,” in Proceedings of the 25th ResearchGate, Oct. 2024, doi: 10.19030/iber.v2i7.3825.ACM Symposium on Virtual Reality Software and Technology, in VRST ’19. [10

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2025 Northeast Section Conference

Authors

Hasan Baig; Phillip Bradford

://www.codesignal.com.properly structure code over time. [5] zyBooks, https://www.zybooks.com. These outcomes highlight the continued effectiveness of [6] Pratha Pratim Ray, “ChatGPT: A comprehensive review on background,the proposed activity in assessing students’ coding abilities on application, key challenges, bias, ethics, limitations and future scope”, Internet of Things and Cyber-Physical Systems, V 3, 2023, pp 121-154.paper while alleviating the grading workload on instructors. [7] Brady Lund et. al., “ChatGPT and a New Academic Reality: AI-Written

Collection

2025 Northeast Section Conference

Authors

Sunil Dehipawala; Guozhen An; Arkadiy Portnoy; Tak Cheung

V. SUSTAINABILITY perspective to match our work to the reported sensemaking Sustainability is maintained by the requirement of results [3].assessment. Specifically, our sustainability plan echoed the There are at least two remaining questions: Can AI Largelearning outcomes of Calculus Physics One in our College [2]. Language Models do spatial reasoning? There are diffusion Using AI ethically to enhance reading and understanding models Generative AI for text to image technology. Cantext in physics, engineering, and forensic science majors. The Computer

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

question, guidelines regarding the use of AI-generated contentKeywords—artificial intelligence; AI; ChatGTP, generative AI,Gen AI, academic, higher education, were clearly established on the syllabus. C. Permitted Use Cases of AI  Brain-Machine Interface: Possibilities, applications, ethics, and prospects As described, intended use cases of AI-generated content  Kansei Engineering and Emotional Design: Components, were covered at the start of the HMS course. Students knew AI

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

encounter. All procedures and interactions were carried out with the approval of the Institutional Review Board (IRB) to ensure ethical considerations. D. Observations The post-assessment survey collected basic participant information, including name and grade level, along with four

Collection

2025 Northeast Section Conference

Authors

Habibul Huq; Chayne Howard; Luke Brown; Raqibul Haque; Douglas Muratori; Mohammed Feroz Shaik; Danushka Bandara; Soyong Byun

collection. ○ Verified Saws: 56 The system would require greater flexibility for the ○ Expected Saws (Bio Dept. Annotations): 77 unpredictability of wild leopards, which could possibly be ● Performance Test #24 (After Optimization, Using mitigated by additional tools. The implementation in the wild Original Audio File): could also face logistical and ethical hurdles. Deploying technology in remote areas may raise concerns about human ○ Detected Noises: 11 impact on

Collection

2025 Northeast Section Conference

Authors

Eric P. Flynn; Arthur McAdams

drawbacks. Over-reliance on AI can lead to decreased criticalthinking skills and reduced problem-solving abilities in students and generate results that align closely with the user's needs.who use it as a shortcut rather than a learning tool. There are also Ultimately, the responsibility lies with the user to provideconcerns about misinformation, as LLMs can sometimes structured input that guides the AI toward producing accurateproduce inaccurate or biased responses [6]. Furthermore, ethical and valuable outputs, making the interaction both efficient andconsiderations arise regarding data privacy and the potential for trustworthy.AI-generated content to be misused for plagiarism. While LLMs Fig. 8

Collection

2025 Northeast Section Conference

Authors

Nadia Albishi; Peter Cavanaugh

that transformative leadership is a should be encouraged to start and subscribe to instructionalstandard of ethical leadership which integrates normative and blogs and podcasts to stay current on the latest trends and bestinstrumental elements of perspectives to optimize long-term practices in education leadership. Digital broadcasts can beexcellence [33]. Montuori and Donnelly wrote that the theory facilitated on locales like Anchor or Podbean, and websites canalso suggests that everyone can lead and that the process of be composed on platforms like WordPress or Blogger.transformative leadership is one in which participants cocreatethe world through choice, action, discussion, and reflection that

Collection

2025 Northeast Section Conference

Authors

Zebin Pepin; Douglas E. Dow

Collection

2025 Northeast Section Conference

Authors

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

capability. Many universities have industrial advisory boards that IV. DATA COLLECTION provide feedback and support, so universities can betterA. Professor McAdams understand their employment skills needs. They identify gaps that they experience in their workforce. These gaps In Fall 2024, more than 50 students attended UB’s Ethics consistently include lack of communication, critical thinking,and Economics graduate course, in which 80% were from the problem solving

Collection

2025 Northeast Section Conference

Authors

Haneen Alzahrani; Arthur C. McAdams

artificial intelligence generates artworks similar to aexpression. Walter Benjamin (1936) argued that mechanical training dataset, a challenge to the definition of art arises. If areproduction transformed the art world, altering notions of generative algorithm is trained on Van Gogh paintings andoriginality and authorship. Similar discussions arise with AI- generates a new painting, Van Gogh is the creator, even thoughgenerated art, as artists navigate new ethical and creative dead.challenges. Similarly, input data denotes authorship for an AI-modelThe democratization of artistic tools, fueled by AI, allows trained on human-generated

Collection

2025 Northeast Section Conference

Authors

Mohamed Elwakil; Tooran Emami Ph. D.

critiques of teaching methods (Q6) and However, several challenges regarding teaching prompt skills assessment performance.engineering have been identified in the literature. In [3], the We used three primary instruments:authors note that while structured training can enhance students'AI literacy, there are concerns about the varying levels of prior 1. Pre- and Post-Intervention Surveys: Six Likert-scaleknowledge among students and the need for discipline-specific questions (1–5 scale) assessed understanding of AIadaptations. The authors in [4] further discuss the ethical (Q1), proficiency in prompt engineering (Q2), problem-implications and potential over-reliance on AI tools, which

Collection

2025 Northeast Section Conference

Authors

Mina Gaber Wahba Ibrahim; Xingguo Xiong; Navarun Gupta; Ahmed El-Sayed El-Sayed

sending the data to the server and encrypted it needed.as Flask based web server gives a simple with high speedoutperformance with simple integration between the ArduinoWi-Fi and the raspberry pi 5.D. Experimental Setup For ethical consideration all experiments were conducted ina controlled environment to ensure safety and minimize theenvironmental risk by wearing the proper PPE and preparing thefire stop equipment in case needed. And all the experiments weresupervised to prevent accidents. Fig. 8. Shows the hemlock needles tree branch was unsuccessfully ignited. The outdoor experiments were conducted on a rainy