Collection

2025 Northeast Section Conference

Authors

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

communication amongoffers specialized programs that integrate AI into engineering team members. At MIT’s Computer Science and Artificial Intelligence students to verify and critically evaluate AI outputs rather thanLaboratory (CSAIL), researchers have developed an AI as- accepting them at face value.sistant that functions as a team coordinator, managing bothhuman and AI agents to ensure task and goal alignment[18]. V. C ONCLUSIONThis system actively monitors team members’ actions, infers The increasing role of AI in engineering education presentstheir plans, and assesses mutual understanding based on pre- a unique opportunity to enhance career competencies, partic

Collection

2025 Northeast Section Conference

Authors

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

growing phenomenon ofreflects the challenge in preparing students for a career in industry. scientists and humanities in academia working separately and In 2023, the Technology Management faculty at the struggling to collaborate, which he called the “two cultures.”University of Bridgeport created an Industry Advisory Board [5] In his argument, he says this phenomenon will lead to lessconsisting of regional executives from large corporations. This innovation in society as well as hindering the problem-solvinggroup reiterated the concept of communication breakdowns, in capabilities of any organization. Snow concluded his lecture bythis case between engineers and business professionals

Collection

2025 Northeast Section Conference

Authors

Jun Zhang; Peter Cavanaugh; Dan Tenney

Educational Practices (OEP), Free and Open-Source Softwaresubsequent resources based on previous interactions, thuscreating personalized learning paths. (FOSS) has become an essential area of research, driven by the increasing recognition of engineering education as critical Despite these benefits, merging AI with OEP is not without engines of economic growth and innovation in technologychallenges. Each field has its own issues—such as copyright, industry. This section explores key concerns, mitigations, andprivacy, and data normalization—that may become more limitations in existing literature, focusing on AI's role incomplicated