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)

Paper ID #45795Integrating the role of the Product Manager into the Program Manager, SystemEngineer, and Project Manager Model for Optimizing Complex Product DevelopmentInitiatives.Dr. Paul Lu, USC Viterbi School of Engineering Dr. Paul Lu is Senior Lecturer and Program Director of Master of Engineering Management at the Daniel J. Epstein School of Industrial and Systems Engineering. Viterbi School of Engineering at University of Southern California. He is also an iPodia Faculty Fellow 2024. Lu has been teaching as an adjunct since 1986. After 40 years of working in the Aerospace and held several leadership roles in Advance

Conference Session

AI in the Engineering Management Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nahid Vesali, The Citadel

Tagged Divisions

Engineering Management Division (EMD)

Paper ID #49017Developing Critical Thinking in Engineering Management through AI-BasedScheduling Assignments: A Study of Copilot, ChatGPT, Gemini and PMIInfinityDr. Nahid Vesali, The Citadel Dr. Nahid Vesali is an Assistant Professor in the Department of Engineering Leadership and Program Management (ELPM) in the School of Engineering (SOE) at The Citadel. She joined the program in Aug 2020. She teaches project management, technical planning ©American Society for Engineering Education, 2025 Developing Critical Thinking in Engineering Management through AI-Based Scheduling Assignments: A

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)

insight, ethical leadership, and practical skillsessential for overseeing AI initiatives with confidence.The course serves as an elective for students from three different categories: • Students at NC State University’s Master’s in Engineering Management program • Working professionals earning an engineering master’s degree • Other graduate and honors undergraduate engineering students at NC StateAs AI increasingly reshapes industries from healthcare to finance to manufacturing, engineeringmanagers must rise to the challenge of leading AI-driven projects. This course equips future 2engineering leaders with the critical understanding

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)

. The laboratories focus on three main areas:digital intelligent technology, digital intelligent organization, and digital intelligentinnovation, which primarily establish four research directions: “IntelligentTechnology and Decision-Making Methods”, “Digital Intelligence Technology andFuture Work Design”, “Organizational Change Driven by Digital IntelligenceTechnology”, and “Paths and Policies of Digital Intelligence Technology Innovation”.For an extended period, several research teams have been focusing on the domain of"Digital Intelligence Innovation and Management," conducting research andestablishing a solid research foundation. Subsequently, relying on the laboratory as aresearch platform, they have been awarded a number of major projects

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)

again.As the complexity and the need to speed up engineering tasks continue to grow, one cannotdiscount the benefits of AI integration. The presence of complex challenges and the need toefficiently execute engineering tasks, by optimizing multifaceted team assignments becomesapparent and inevitable. Traditional team assignment methods, which rely on experience,knowledge, static criteria, and human intuition, may not always be attuned to the sometimes-dynamic nature of modern engineering tasks. To this effect, AI offers an alternative to thischallenge. With real-time data, insights about complex engineering tasks, and employeequalities, AI tools may be able to streamline team assignments and workflow to enhanceengineering project overall

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)

Paper ID #47631Digital Engineering: Leveraging AI to Improve Communication SkillsDr. Neil Littell, Ohio University Dr. W. Neil Littell is an Associate Professor at Ohio University within the Russ College of Engineering in the Department of Engineering Technology and Management. Dr. Littell created and is the current director of Ohio University’s Master of Science in Project Management degree. ©American Society for Engineering Education, 2025 Digital Engineering: Leveraging AI to Improve Communication SkillsAbstractEngineers must engage with

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)

and Multiple Regression, and fundamentals of Project Management.Findings will help determine whether instruction mode is a factor that impacts effectiveness ofstudent learning for various content and topics. We will use parametric and nonparametric testsof mean and validate their assumptions using tests for normality and homogeneity of variance asour tools for analysis to capture findings.Literature ReviewA survey of college instructors and administrators involved in online teaching showed thepopularity of online learning, rise of blended learning, and growing share of the women amongonline instructors [4]. Respondents expected growth of online and blended learning. Studentsuccess factors in online learning were associated with training to

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)

opinions of online learning are well established, the fact thatthe students in the present study were all enrolled in the junior level industrial engineering classof Project Management and are providing their opinions about online graduate education inengineering management could illuminate a unique and specific perception. Thus, an eleven-question survey was constructed to improve the UARK MSEM program and was taken by sixty-eight engineering students to determine their preferences regarding engineering managementonline master’s degrees and certificates.MethodsDuring the sixteen-week fall 2024 semester, sixty-eight students in the junior level industrialengineering Project Management class completed the non-anonymous survey found in Figure 1

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)

mastering the material in the program. By examining grade distributions and identifying patterns in performance, program administrators can identify areas where students may be struggling and make adjustments to the curriculum as needed. • Retention rates: Retention rates can provide an indication of how engaged and committed students are to the program. High retention rates suggest that students are satisfied with the program and are likely to continue on to graduation. • Research and project performance: In many engineering graduate programs, students are required to complete research projects or design projects. By evaluating the quality and originality of these projects, program

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)

organizations as an opportunity to display moral virtues. This dimension -together with managing, business techniques and economics-, constitutes the foundation for having the leadership capacity to develop his institucional management activity. During his university career performs a close relationship related to the administration of human resources, budget, planning and development of academic and administrative projects, emphasizing the creation of a working environment for his officials to deliver the best of their capabilities. The teaching performance work has motivated his contribution to the community so that as too individual to achieve his own development. In this area, he responsible for carrying out educational