Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

A. Artificial Intelligence in Education (AIED)perspective of technology management. Drawing oninterdisciplinary insights from cybersecurity, policy, and Generative AI received widespread attention in recentmanagement, this study proposes an integrated framework that years, and educators have had to address its impact quickly.guide institutions for strategic AI adoption. The proposed Teachers and school administrators now face two criticalAIOEP is based on Open Educational Practices (OEP) and uses questions: Should generative AI be banned, and should schoolsFree and Open-Source Software (FOSS) as its educational adopt tools to detect its use by students? According tofoundation. With

Collection

2025 Northeast Section Conference

Authors

Marvin Gayle; Danny Mangra

use appropriate technical literature. Industrial Influence. After WWII there was a significant • An ability to conduct standard tests, measurements, boom in technological innovation and advancement. This was and experiments and to analyze and interpret the driven by the need for more skilled and highly competent results; and engineering graduates. This need led to the creation of the Accreditation Board for Engineering and Technology Inc. • An ability to function effectively as a member of a [ABET] in the 1930s

Collection

2025 Northeast Section Conference

Authors

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

integration into engineering education grams, and responsible AI literacy initiatives, universities cancomes with several challenges and considerations. These chal- create a balanced approach that leverages AI as a complementlenges must be acknowledged and addressed to ensure that to traditional learning methods rather than a substitute.AI-driven learning experiences are equitable, effective, and In conclusion, AI-driven education has the potential toaligned with best practices in higher education. transform career readiness for engineering students, equipping One of the primary concerns is the unequal access to them with not only technical expertise but also the essentialAI resources

Collection

2025 Northeast Section Conference

Authors

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

] called it The Battle for the Soul ofeach of these five courses, students in different American Business, where he referred to the financialdisciplines and backgrounds work together on team projects executives as “bean counters” and referred to the engineers asrelated to course material. These multidisciplinary teams “car guys” [4]. In this comparison, he makes the distinctionexperience real-world between those who value profits and cost cutting with those who prioritize design and innovation. The result was a big loss

Collection

2025 Northeast Section Conference

Authors

Kalyan Khatry; Reihaneh Samsami

: assignment, treating it similarly to working with a tutor or using reference books. This transparency approach is aimed atA. Adaptive and Personalized Learning maintaining integrity without full prohibition. Gao [24], after An adaptive learning system adjusts content based on a reviewing the impact of ChatGPT on assessment, concludesstudent’s needs. Gen AI generates customized instructional that assessment design must evolve – for example,responses and practice problems that match the learner's style incorporating more oral defenses, in-class problem-solving, orand needs [4]. For instance, an AI tutor can provide an

Collection

2025 Northeast Section Conference

Authors

Lina H. Kloub, University of Connecticut; 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