Collection

2025 Northeast Section Conference

Authors

Hasan Baig; Phillip Bradford

2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgpeort, CT, USA. Paper-based coding exams: Overcoming coding assessments and grading challenges in the era of AI Large Language Models like ChatGPT Hasan Baig* Phillip Bradford Department of Computer Science Department of Computer Science University of Connecticut University of Connecticut Stamford, CT USA Stamford, CT USA hasan.baig@uconn.edu (*corresponding author

Collection

2025 Northeast Section Conference

Authors

Shohana Iffat

. Misuse swimming pools, retaining walls, domes, dam linings, isof AI can lead to incorrect decision-making. However, instead of challenging. The author was looking for some advanced topicsconsidering AI as proscribed, it can be utilized in research areas to initiate a civil engineering student research project onespecially developing hypothesis and reviewing literature. To application of concrete in complex structures, which was to begenerate a theoretical or experimental research, the researchers started within a week. The author explored ChatGPT [1] to findmust review a series of technical articles. It takes longer if those some suitable topics. At first it was asked that “Can you listarticles are selected

Collection

2025 Northeast Section Conference

Authors

Seyedeh Elham Kamali; Reihaneh Samsami

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

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

Kalyan Khatry; Reihaneh Samsami

Gen applications in education [1]. In 2022, the public release ofAI (e.g., GPT-4 and DALL-E) have radically expanded AI LLMs like OpenAI’s ChatGPT demonstrated that AI couldcapabilities and access to teaching and learning [2]. Not only engage in sophisticated dialogue, solve complex problems,do these advances enable AI to assess learning data, but they and assist with content generation in real time. Soon after,also generate rich learning content and engage in natural multimodal models emerged that handle not just text but alsolanguage response, blurring the line between human andimagery and other data types, further broadening AI’s capacity enables educational interactions by explaining

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

GPTZero and TurnItIn claim to identify whether a student’s writing was One key aspect of this paper is the distinction betweenproprietary and open-source large language models. Proprietary produced by generative AI, but they are highly inaccurate.models, such as OpenAI’s ChatGPT, are often considered less They tend to flag simple or predictable writing as AI-secure and privacy-invasive compared to open-source generated. Studies show that such false positives occur morealternatives like Meta’s Llama. Educating students on the frequently among certain groups, including

Collection

2025 Northeast Section Conference

Authors

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

banpersonalized learning and the development of dynamic edu- on ChatGPT by the Italian Data Protection Authority in 2023cational materials. However, the use of GenAI often involvesprocessing sensitive student data, raising concerns about pri- raised concerns about the lack of transparency in AI datavacy and regulatory compliance. This paper examines these collection practices [3]. Institutions must navigate a complexchallenges, highlighting key risks such as data breaches and regulatory landscape, ensuring that GenAI applications alignunauthorized data sharing. A comprehensive solution is proposed with existing legal frameworks such as the GDPR in Europeinvolving privacy-preserving technologies and robust data gov

Collection

2025 Northeast Section Conference

Authors

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

opportunities structures in vast datasets as in [1] and continuouslyacross multiple domains, including education, it also raises improving through fine-tuning and prompting.ethical concerns around issues such as copyright,misinformation, and bias. This paper explores the potential of Generative AI operates in three phases:generative AI to revolutionize teaching and learning, with a focuson its impact on student outcomes. Through an examination of • Training, to create a foundation model that can serveselective platforms such as ChatGPT, Character AI, Gemini, and as the basis of multiple gen AI applications.Deep Seek, this paper aims to introduce students to thefundamentals of building AI-powered applications

Collection

2025 Northeast Section Conference

Authors

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

artificial intelligence (ai): Understanding the potentialalready known to the respondents, despite the possibility of benefits of chatgpt in promoting teaching and learning,” SSRN, 2023.response (acquiescence) bias. [Online]. Available: https://ssrn.com/abstract=4337484 Finally, the rapid evolution of AI technologies poses chal- [3] P. A. Barrett, A., “Not quite eye to a.i.: student and teacher perspectives on the use of generative artificial intelligence in the writing process,”lenges in capturing a static picture of instructor attitudes. AI Int J Educ Technol High Educ, vol. 20, 2023.models and tools

Collection

2025 Northeast Section Conference

Authors

Mohamed Elwakil; Tooran Emami Ph. D.

was assessed through pre/post-Likert-scaleemphasize the importance of strategically designed prompts for surveys (Q2, Q3) and skills assessments.AI tools like ChatGPT, which can foster engagement, critical 2. RQ2 What role does disciplinary context play in shapingthinking, and personalized instruction. The study outlines career relevance and proper perceptions?. This waseffective strategies such as assigning roles to AI, defining clear explored via Likert-scale ratings (Q5) and qualitativeobjectives, and employing iterative dialogue to refine outputs. themes from open-ended responses.Similarly, the authors of [2] explore integrating structuredprompt engineering with generative AI tools. This

Collection

2025 Northeast Section Conference

Authors

B. Kris Jaeger-Helton

the two lists. “Going to ChatGPT helped us create an outline from our B. Positive Aspects of AI use notes to organize the presentation.” Table I presents the profile of responses from Question 1 “Once we searched on kansei engineering + human factors we saw it was a thing and how they combined together.”that explicitly listed perceived advantages of AI. “It was so easy to ask AI to format our references, it saved TABLE I. OVERVIEW OF POSITIVE RESPONES FOR USE OF AI time that was better spent

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut

NTRODUCTION ucators navigating the evolving landscape of AI in education. The integration of artificial intelligence (AI) tools in educa- II. M ETHODOLOGYtion has sparked both enthusiasm and concern among educa-tors and students alike. These tools, ranging from generative A. Course Context and Participants.AI systems like ChatGPT to specialized applications, have the This study was conducted in an undergraduate course titledpotential to reshape how students approach problem-solving, Algorithms and Complexity at the University of Connecticutcollaborate on projects, and prepare for their

Collection

2025 Northeast Section Conference

Authors

Peter F. Cavanaugh

ChatGPT, Bard, and other generative AI platforms).skills in project and process management. Thoughtfully 1. Transparency - Always disclose when and how you usedesigned AI-integrated assignments not only reinforce course AI tools in your assignments, presentations, or projects.learning objectives but also equip students with the analytical For example, include a brief note in your submissionskills necessary to navigate the future of AI-enhanced stating: "AI tools were used for brainstorming and editingprofessional environments. this document." 2. Responsibility - You are

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

students to learn about lab safety through machine learning [36]. They would select objects deemed safe for a chemistry lab and train the model to classify items, thus directly engaging with the concept of AI learning and classification. The Ask Me Anything (AMA) booth featured a ChatGPT-powered chatbot limited to discussing child-friendly

Collection

2025 Northeast Section Conference

Authors

Haneen Alzahrani; Arthur C. McAdams

[6] Daniel, R. (2021). Exploring creativity through artists’ reflections. Creativity Studies, 14(1), 48-61. https://doi.org/10.3846/cs.2021.1120[7] Dwivedi, Y. K., Tiwari, P., Rana, P. L., Sharma, P. K., Singh, P. K., & [17] Barnett, C. (2003). Culture and democracy: Media, space, andKapoor, J. (2023). Opinion Paper: "So what if ChatGPT wrote it?" representation. Edinburgh University Press.Multidisciplinary perspectives on opportunities, challenges, and implications [18] Benjamin, W. (2008). The work of art in the age of mechanicalof generative conversational AI for research, practice, and policy. reproduction (J. A. Underwood

Collection

2025 Northeast Section Conference

Authors

PS. Dhanasekaran

ensuring its responsible and equitable use [9].can also widen societal and digital inequalities. AI offersnew learning opportunities but may also put II. CHALLENGESmarginalized students at risk. Unsurprisingly, teachers There is growing concern that the widespread use ofview AI as both a "pal and rival" [2]. computers in education may harm students' physical In recent times, concerns have grown in health, contributing to repetitive strain injuries, eyeacademic settings regarding the use of text-generative strain, obesity, and other related conditions. Asartificial intelligence (AI) tools like ChatGPT, Bing, and computers become

Collection

2025 Northeast Section Conference

Authors

Jorge Paricio Garcia; Paul Spirito

potential for inappropriateeffectiveness of market and user research, by leveraging access and misuse of personal or sensitive information, even ingenerative AI tools like ChatGPT, Bard, CoPilot, or Vizcom. the sketching stages, as well others, like inadvertent release ofDesigners and trained engineers can quickly gather and patient data, or de-identification of raw data input for AIsynthesize vast amounts of market and consumer data, algorithms [14]. Wearable healthcare devices are capable ofrevealing opportunities and overlooked user needs, which continuous data recording and can collect extensive patientwould later lead to ethnographic interviews and additional

Collection

2025 Northeast Section Conference

Authors

Eric P. Flynn; Arthur McAdams

component? It needs to be just large enough to attachacross technical fields [3]. four vacuum hose fittings, and two mounting bolts…we In this paper, we will demonstrate how an LLM (specifically need to ensure the internal cavities can support the airOpenAI ChatGPT-4.0) can provide insights into material flow, and the walls can provide enough thread...”selection, wall thickness, airflow characteristics, and specific Fig. 1. A napkin sketch of the boost manifold design.techniques and tools for machining features in T6-6061aluminum. This is achieved through the model's ability toleverage both causal relationships such as the direct