Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

-programmed Engineering education is undergoing a major shift with the rules; they could not create new, contextually relevant content.advent of Gen AI technologies. Gen AI refers to AI systems(such as Large Language Models (LLMs) and generative The past few years have seen a transformative leap withimage models) that can produce new content, ranging from the rise of Gen AI models. Unlike earlier AI, Gen AI canhuman-like text to designs and simulations, based on patterns produce original text, images, code, and designs in response tolearned from vast datasets [1]. While AI has been used in prompts, enabling far more interactive and creativeeducational settings for decades, recent breakthroughs in

Collection

2025 Northeast Section Conference

Authors

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

Literacy and Cybersecurity dependence on automated systems without awareness Awareness of how they operate or their vulnerabilities; 1) Early Computing Era to Democratization of • Loss of Technical, Problem-Solving, andTechnology Cybersecurity Skills: Previous generations engaged In the 1950s and 1960s, computers were used exclusively directly in configuring and troubleshooting devices.by individuals with specialized expertise in fields like Automated updates and built-in maintenance haveelectrical engineering, algorithms, and

Collection

2025 Northeast Section Conference

Authors

Mohamed Elwakil; Tooran Emami Ph. D.

Comparisons C. Discipline-Specific Approaches Fig. 1 shows EEM’s steeper improvements in proficiency The study underscores the value of aligning prompt(+1.98 vs. DB’s +0.97). Qualitative data aligned with these engineering education with disciplinary goals. DB studentstrends: EEM students’ lower baseline familiarity, “I didn’t know leveraged AI for technical automation (e.g., “debugging codehow to trust AI outputs,” contrasted with DB students’ focus on faster”), whereas EEM students applied it to interdisciplinaryrefining existing skills, “Automating SQL queries now.” tasks (e.g., “generating equations for experiments”). This

Collection

2025 Northeast Section Conference

Authors

Peter F. Cavanaugh

, reasoning can ensure that AI acts as a learning aid analyzing, evaluating, and creating [1]. AI may assist rather than a substitute for learning. In my experience, with lower-order cognitive tasks, such as students engage more deeply when asked to critique summarization and information retrieval, but higher- AI-generated insights rather than passively accept order thinking skills, such as evaluation and creation, them. Encouraging students to challenge AI outputs must be fostered through carefully designed helps them develop sharper critical thinking skills. assignments that challenge students to critically engage By

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

educational andFramework) to mitigate technological risks introduced by AI technological implementation. It involves changing mindsets,and other services. adopting new learning platforms, ensuring transparency in AI Pedagogical and educational practices: it is important for systems, building relevant competencies, and implementingboth student and faculty that not only leverage AI tools for supportive policies. Together, these steps can lead to moreimproving learning experience but also cultivate the ability to adaptive, reliable, and non-intrusive teaching and learningcritically evaluate AI-generated content while maintaining experiences. Table 1 is a list of

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

Lab Reports and Technical Documentation: Can beremain a challenge, and academic integrity is still a legitimate used to evaluate student work that is submitted using aconcern. However, the use of increasing flexible programing structured lab report format. The format can vary but usuallyand scheduling of sessions helps to reduce the human footprint consists of a hypothesis or objective, the procedure orand the congestion of the labs. Hybrid scheduling also offers methodology providing the detailed steps involved in thesignificant benefit, since the combination of in-person and performance of the intended experiment, and the specificationvirtual learning offers an effective and valued alternative in

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut

- for technical interviews, enhancing their ability to ex- ing class sessions to test and reinforce students’ under- plain concepts clearly and confidently while supporting standing of key course concepts, actively engaging them NACE’s emphasis on critical thinking and professional in the learning process. Exercises begin with instructor- preparedness in real-world settings. provided prompts, such as “We’ve learned about [topic]. 6) Addressing AI Limitations Ask me three questions, one at a time, to test my un- This critical component ensures that students recognize derstanding, and provide feedback after each answer.” In and mitigate AI’s limitations, fostering responsible usage

Collection

2025 Northeast Section Conference

Authors

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

threshold of around 60 are recognized as possible saws or saw calls andare isolated and extracted as separate audio files of 3.5 to 26seconds.User Validation: Researchers verify detections via an interfacedisplaying spectrograms and waveforms and hearing theaudio. Detected segments are categorized into saws, Neither,or saw call once verified.Saw call Logging: Detected saws (each sawing noise) andcalls (3 or more saws), along with timestamps, categorization,and more are recorded in an Excel database for furtheranalysis.The final output generates a detailed excel report per detectedsegment and a summary of detections per file. The energythreshold based algorithm processes each 1-hour

Collection

2025 Northeast Section Conference

Authors

Yegin Genc; Gonca Altuger-Genc; Akin Tatoglu

technical questions and discussed whether social networking tools could be used as a platform for self-directed learning in engineering education. Asa pivotal role in helping students pursue a self-directed learning newer technological advancements such as Generative Artificialapproach (SDL) by providing real-time feedback or adjusting Intelligence (GenAI) became available, researchers startedinstructional materials based on student-AI interaction [8], [9]. exploring potential application areas. Since AI becameOn the other hand, these tools may also provide a shortcut for available, it provided many opportunities and brought manynuanced

Collection

2025 Northeast Section Conference

Authors

ZANNATUN NAYEEM; Tauhid Uddin Mahmood; Dan Tenney

inhibit theprocessing and real-time insights. Using qualitative research organization from harvesting the potential of their data to themethodology, the study analyzes case studies and literature to complete value while taking well-timed, well-informedcompare effective integration strategies. The findings from the decisions [1].research are that businesses whose data initiatives are aligned to Moreover, integrating analytical and operational informationorganizational objectives achieve enhanced analytic capabilities, requires the deployment of robust frameworks that provide theenhanced decision-making, and long-term competitive capabilities of interoperability and scalability

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

child's poster as shown in Fig. 1. This promotional tool capturedlearning progress by identifying areas where students students' curiosity and encouraged interaction. The study tookplace at a public K-8 school in an urban setting. Students ahead), and a sophisticated evaluation function that considersparticipated in different grade levels. We introduced the game multiple strategic factors, such as board control and positionalto all groups through a brief one to two minutes session using advantage. We chose the Minimax algorithm because it isthe trifold poster. This short introduction was designed to spark effective for deterministic, turn-based games