Conference Session

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Paulus, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Engineering Management Division (EMD)

education to help overcome the common misconception that onlinelearning is a solitary, self-paced, non-instructor led activity [1], and it retains the social andparticipation aspects that are a key factor in the success of online learning [2]. The 2010 meta-analysis performed by the U.S. Department of Education [3] found that, on average, students inonline learning conditions performed modestly better than those receiving face-to-faceinstruction. Moreover, using the live interaction instruction possible with Zoom and BlackboardCollaborate could help address the Sloan-C quality elements including learning and costeffectiveness and institutional commitment, access, faculty and student satisfaction [4].IntroductionAlthough the successes and student

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

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kumar Yelamarthi, Tennessee Technological University; Mazen I. Hussein, Tennessee Technological University; Elizabeth A. Powell, Tennessee Technological University

Tagged Divisions

Engineering Management Division (EMD)

years.KeywordsEngineering Summer Camp, Program Streamlining, Lean Systems, Student Engagement,Operational Efficiency, Continuous Improvement.1. IntroductionEngineering summer camps have long served as a dynamic gateway for cultivating students’early interest in STEM fields, particularly engineering. Through immersive, hands-on activitiesand personalized interactions with faculty, these programs give young learners a chance toexplore various disciplines—including mechanical, electrical, civil, and computer engineering—and gain insight into potential career paths. Recent studies underscore the power of well-designed summer camps to spark curiosity, strengthen self-efficacy, and shape academicaspirations, especially among students who might otherwise lack exposure to

Conference Session

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Majid Nabavi, University of Nebraska - Lincoln; Jena Shafai Asgarpoor, University of Nebraska - Lincoln

Tagged Divisions

Engineering Management Division (EMD)

another part of the study, we compared the studentperformance in all sections with the one section where discussion board participation was notrequired.Literature ReviewIn 2014, University of Marylan Global Campus [1] decided to use open educational resources(OER) in statistics and college algebra courses, and pilot tested Pearson MyLab in a few sectionsof a course and compared the outcomes. They have reported positive outcomes since usingMyLab, including a substantial increase in student success. The success rate changed from 60%to 80% in statistics and 50% to 80% in algebra. Faculty evaluations also improved since theywere spending more time on student-teacher relationships rather than grading the assignments.A study from 2008 [2] compared the

Conference Session

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yooneun Lee, University of Dayton; Khalid Zouhri, University of Dayton; Philip Appiah-Kubi, University of Dayton

Tagged Divisions

Engineering Management Division (EMD)

struggling andmake adjustments to the curriculum and program structure to better prepare graduates for success.Additionally, the analysis of student performance can provide valuable feedback to faculty andadministrators, helping them to continually improve and adapt the program to meet the changing needs ofthe industry. Overall, a thorough analysis of student performance in the first year of an engineeringgraduate program is an essential component of ensuring that graduates are well-prepared to succeed intheir careers and make meaningful contributions to the field of engineering [1].The analysis of student performance in their first engineering graduate program has been a key aspect ofevaluating the effectiveness of such programs for many years. In

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)

explores the influence of implementing the EFQM model on customerperformance, emphasizing its structured qualitative and quantitative approach to monitoring andenhancing strategic planning. Lessons learned from the EFQM model’s organizationaldeployment offer actionable strategies to enhance strategic planning, leadership, and processoptimization. This is useful for engineering education as a quality management tool.Keywords: EFQM Excellence Model, Quality Management, quantitative method, hypothesistesting, qualitative method, RADAR. 1. Introduction The European Foundation for Quality Management (EFQM) Excellence Model serves asa comprehensive framework for achieving organizational development and strategic alignmentby emphasizing

Conference Session

Smarter Strategies: Evolving Tools for Engineering Management Excellence

Collection

2025 ASEE Annual Conference & Exposition

Authors

Paul Lu, USC Viterbi School of Engineering

Tagged Divisions

Engineering Management Division (EMD)

are typically ledby project managers (PM) and the focus is on completing the project within the triple constraintsof scope, time, and cost. Program management is typically led by the program managers (PGM)and focuses on strategic initiatives such as alignment of multiple projects, finance, resourceallocation, coordination of cross function activities, and to collaborate with other business units.The PGM manages in a collaborative fashion incorporating program, project, and systemsengineering into an integrated systems approach. This approach has been applied in manyindustries for complex efforts such as New Product Development (NPD) in the aerospace,automotive, healthcare, and information systems. Figure 1 is an illustration of a typical

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)

ofdiverse professional backgrounds and to function effectively on a team [1]. Researchers [2]further expanded the purposefully general criteria provided by ABET “into six main groups:problem-solving and Critical thinking, Communication, Team Work, Ethical Perspective,Emotional Intelligence, and Creative Thinking.” While these researchers provided an analysis ofthe literature, they also identified that many engineering students are ultimately deficient in theirability to communicate effectively. This sentiment was also recognized by Riemer [3], whoreferenced studies by [4] and [5].The ProblemMany engineering programs have limited ability to add courses, as university general educationrequirements and accreditation requirements challenge programs to

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)

leadership development and institutionaleffectiveness. The findings contribute to academic discourse and provide practicalrecommendations for fostering leadership excellence in higher education, ensuring sustainablegovernance and positive societal impact.Keywords: Higher Education Institutions, leadership styles, managers’ development,governance, organizational models, institutional effectiveness.INTRODUCTIONThe organizational structures of Higher Education Institutions (HEIs) can be understood throughthree primary models: mechanistic, organic, and anthropological (Figure 1) [1], [2].Misalignment in the application of these models often results in governance deficiencies. Forinstance, the mechanistic model, which operates as a technical system

Conference Session

Engineering Management Pedagogy: Teaching for Real-World Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yuxin Xue, Zhejiang University; Tuoyu Li, Zhejiang University; Min Ye, Zhejiang University

Tagged Divisions

Engineering Management Division (EMD)

Ye is a professor of the Institute of China’s Science Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy. ©American Society for Engineering Education, 2025 How to Cultivate Digital Engineering Management Talents: A Case on the “Digital Intelligence Innovation and Management” Engineering Doctoral Program1 IntroductionIn the current context of the world’s comprehensive promotion of digitaltransformation, improving the digital literacy and skills of talents is the top priority ofquality education in higher education[1]. In 2022, China released the world’s firsthigher education

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)

testament to the transformative potential of education—notonly in shaping individual careers, but also in advancing industries and influencing society atlarge.References 1. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. This article discusses how businesses implement AI successfully and emphasizes managerial decision-making, similar to the focus of the course. 2. Raj, P., & Swami, S. N. (2020). Artificial intelligence and machine learning for business: A no-nonsense guide to data-driven technologies. Springer. This book provides a managerial perspective on AI technologies, making it relevant to your course’s emphasis on non-technical AI