- Conference Session
- AI in the Engineering Management Classroom
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Edwin R Addison, North Carolina State University at Raleigh
- Tagged Topics
-
Diversity
- Tagged Divisions
-
Engineering Management Division (EMD)
organizational value.Beyond foundational concepts, the course offers strategic insights into data sourcing, projectplanning, and resource estimation, essential for executing successful AI initiatives. Sometimesdelivered through a dynamic inverted classroom model, students engage with thought-provoking lectures online, then apply theory to practice in lively, interactive sessions. Activitiesinclude solving real-world machine learning challenges, architecting the adoption of largelanguage models (LLMs), and developing comprehensive AI management roadmaps.The curriculum underscores how AI is revolutionizing industries, reshaping economies, andredefining the workforce, while emphasizing the ethical imperatives necessary for responsibledeployment. This paper
- Conference Session
- Smarter Strategies: Evolving Tools for Engineering Management Excellence
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Manuel Vicuña, Universidad Andres Bello, Concepcion, Chile; Angeles Dominguez, Tecnologico de Monterrey, Monterey, Mexico (ITESM); Universidad Andres Bello, Santiago, Chile (UNAB)
- Tagged Divisions
-
Engineering Management Division (EMD)
stakeholders, and the characteristics of effective educationalleaders. Findings indicate that leadership quality significantly influences governanceeffectiveness, stakeholder engagement, and institutional culture. Public and private universitiesexhibit distinct governance models, impacting decision-making processes and leadershipexecution. The study also underscores the importance of adaptive leadership approaches thatbalance strategic objectives with operational realities. Effective leaders cultivate collaborativeenvironments, uphold ethical principles, and foster institutional resilience. This researchhighlights the interconnectedness of leadership styles, governance structures, and educationaloutcomes, offering insights into how HEIs can enhance
- Conference Session
- AI in the Engineering Management Classroom
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Ekaterina Koromyslova, South Dakota State University; Bishnu karki, South Dakota State University; Prafulla Salunke, South Dakota State University; Carrie Steinlicht, South Dakota State University; Gary Anderson, South Dakota State University
- Tagged Topics
-
Diversity
- Tagged Divisions
-
Engineering Management Division (EMD)
demand for professionals equippedwith unique skill sets that complement AI systems is surging [1], [2]. To maintain a competitiveedge in this evolving environment, educational institutions must prepare students not only withtechnical knowledge but also with professional skills such as critical thinking, adaptability,creativity, collaboration, and ethical decision-making [3], [4]. These competencies are essentialfor thriving in AI-enhanced workplaces, where traditional roles are being redefined, andinterdisciplinary approaches are becoming the norm. In light of these challenges, the role ofeducators is pivotal in reshaping curricula and teaching strategies to address the gaps betweentraditional education and the demands of AI-driven industries [5
- Conference Session
- AI in the Engineering Management Classroom
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Philip Appiah-Kubi, University of Dayton; Khalid Zouhri, University of Dayton; Yooneun Lee, University of Dayton
- Tagged Divisions
-
Engineering Management Division (EMD)
Artificial intelligence (AI) continues to be felt both in academia and industry, yetits full potential is yet to be exploited for the common good. While AI technologies areincreasingly being implemented, questions linger over their long-term impact on education andthe workforce. Recent research efforts have focused on promoting the ethical and responsible useof AI. As a result, explainable AI, which focuses on helping users understand how AI systemsmake decisions, has received a lot of interest [1].Even though some skepticism about AI decisions still lingers, it is already transformingworkplaces by enhancing efficiency, automating repetitive tasks, and enabling data-drivendecision-making. AI technologies such as natural language processing help to
- Conference Session
- AI in the Engineering Management Classroom
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Neil Littell, Ohio University
- Tagged Divisions
-
Engineering Management Division (EMD)
benefit the most from such coaching may be the most resistant toseeking such opportunities. The author A.A. Mohammed et al. [11] report that engineeringstudents who are presenting their work may experience debilitating anxiety and facilitatinganxiety, both of which can significantly and negatively impact the effectiveness of the engineercommunicator. This study found that one of the best ways to help students relieve their anxiety isthrough frequent and timely corrections.ABET Student Criterion 3, Outcome 3 specifies that students are expected to illustrate “an abilityto communicate effectively with a range of audiences.” Components of effective communicationinclude ethical communication, the ability of individuals to communicate with individuals
- Conference Session
- Smarter Strategies: Evolving Tools for Engineering Management Excellence
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Cyrus Sarmadi, Indiana State University; M. Affan Badar, Indiana State University; A. Mehran Shahhosseini, Indiana State University; Farman A. Moayed P.E., Indiana State University
- Tagged Divisions
-
Engineering Management Division (EMD)
, vision, values, and ethics, and serve as role models. 1b. Leaders are actively engaged in the development, implementation, and continuous improvement of the organization's management system. 1c. Leaders engage with customers, partners, and societal representatives. 1d. Leaders instill a culture of excellence within the organization. 1e. Leaders ensure that the organization stays adaptable, and handles change efficiently
- Conference Session
- Smarter Strategies: Evolving Tools for Engineering Management Excellence
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
-
Julie R Szekerczes, Indiana State University; M. Affan Badar, Indiana State University; James Nevin McKirahan Jr., Indiana State University; A. Mehran Shahhosseini, Indiana State University
- Tagged Divisions
-
Engineering Management Division (EMD)