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- Engineering Management Division (EMD) Technical Session 3
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- 2024 ASEE Annual Conference & Exposition
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Richard (Rick) Warren Blank, Johns Hopkins Engineering for Professionals; Stanislaw Tarchalski, The Johns Hopkins University
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Engineering Management Division (EMD)
Paper ID #41624Preparing Future Generations for Executive Leadership Roles in TechnicalOrganizationsMr. Richard (Rick) Warren Blank, Johns Hopkins Engineering for Professionals Richard W (Rick) Blank, B.A., B.S., M.S. Mr. Blank is a Lecturer in the Engineering for Professionals Master of Engineering Management Program at the Johns Hopkins Whiting School of Engineering. In this program he teaches Planning & Managing Projects; Finance, Contracts, & Compliance for Technical Professionals; Strategic Communications in Technical Organizations; and Executive Technical Leadership. He also holds an appointment as the
- Conference Session
- Engineering Management Division (EMD) Technical Session 2
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- 2024 ASEE Annual Conference & Exposition
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Sakhi Aggrawal, Purdue University ; Paul J. Thomas
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Diversity
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Engineering Management Division (EMD)
quantitative data.Concurrently, qualitative data was thematically analyzed to gain insights into usage andperceptions surrounding AI.Results: The study revealed a growing trend among project management professionals inleveraging AI tools for a variety of tasks, including project planning, task assignment, tracking,and crafting emails, reports, and presentations. A strong correlation was observed betweenfamiliarity with ChatGPT and its likely usage in project management tasks. While someparticipants found AI tools convenient and efficient, they were frustrated with potentialinaccuracies and the need for specific input prompts. Overall, industry professionalsdemonstrated the usage of AI in project management, with a notable emphasis on taskautomation
- Conference Session
- Engineering Management Division (EMD) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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Kumar Yelamarthi, Tennessee Technological University; Elizabeth A. Powell, Tennessee Technological University
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Engineering Management Division (EMD)
, and Recognition (R3).The Center’s mission is to recruit diverse and talented students, provide evidence-basedprogramming for retention, and celebrate students’ success by recognizing their hard work andaccomplishments. This mission is tied to the state’s mandate to increase enrollment in highereducation [7] and to boost STEM education to meet the growing STEM workforce needs [8].Tennessee Tech University’s strategic plan to increase freshmen-to-sophomore retention rates to82% and to reach a 50% 4-year graduation rate by 2025 [9] is also reflected in the Center’smission.The CoE SSC activities and outcomes have been through substantial growth in the past threeyears, the staff have been intensifying recruitment efforts, developing and
- Conference Session
- Engineering Management Division (EMD) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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Saeed D. Foroudastan, Middle Tennessee State University; Suzanne S. Hicks, Middle Tennessee State University
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Diversity
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Engineering Management Division (EMD)
implement, andSafety Planning problem-solving, investigation, risk communicate safety collaboration assessment programs and practices Communication, Project management Develops skills to lead andET 6300 leadership, teamwork, software and techniques, deliver technical projectsPMI Project problem-solving, applying PM
- Conference Session
- Engineering Management Division (EMD) Technical Session 3
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- 2024 ASEE Annual Conference & Exposition
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Diego Alejandro Polanco-Lahoz, Texas Tech University; Jennifer A Cross, Texas Tech University
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Engineering Management Division (EMD)
HEI contexts is the one previously published as Work-in-process19.Methodology The SLR methodology used for this study considers the same used previously19, whichwas developed by Tranfield and colleagues in 20031. This methodology considers three differentstages with multiple phases on each. First, planning the review, where the main goal is toidentify the need for a review, the respective preparation, and the development of the reviewprotocol. The second stage of conducting a review considers the identification of research,selection of studies, their quality assessment, data extraction, and progress monitoring, to endwith the data synthesis. Finally, the third stage considers the report and recommendations, andgetting evidence into
- Conference Session
- Engineering Management Division (EMD) Technical Session 3
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- 2024 ASEE Annual Conference & Exposition
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Adekemisola Olufunmilayo Asahiah, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oyinkansola Aladeokin, Morgan State University; Hannah Abedoh, Morgan State University; Olushola V. Emiola-Owolabi, Morgan State University
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Diversity
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Engineering Management Division (EMD)
isassociated with the “Driving Onward” function, while intuition contradicts sensing in this role.Similarly, the “Planning Ahead” role aligns with the judging function, while the perceivingfunction opposes it. However, introversion, feeling, and thinking do not exhibit explicitassociations with specific roles, suggesting the complexity of team personality dynamics.Despite these insights, there remains a lack of understanding of the direct influence of teampersonality on effectiveness and success.This study attempts to provide evidence by investigating the relationship between teampersonalities and performance within an interdisciplinary research group at a historically blackcollege and university (HBCU). This group, operational for over four years
- Conference Session
- Engineering Management Division (EMD) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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Chun Kit Chui, University of Hong Kong; Norman C. Tien, University of Hong Kong
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Diversity
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Engineering Management Division (EMD)
networking opportunities and global awareness.Suggestions were made to address these shortcomings.This study offers practical insights for advancing engineering education through innovativeinfrastructure and serves as a reference case for planning, executing, and managing similarinitiatives in higher education institutions.Keywords Innovation center, student-centered approachIntroductionIn 2016, the engineering faculty at the University of Hong Kong initiated the Tam Wing FanInnovation Wing (a.k.a. the HKU Inno Wing) project with the goal of establishing and operatingan innovation center at a prominent location on campus. The primary educational objective of theInno Wing is to empower students, allowing them to unleash their creative potential
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- Engineering Management Division (EMD) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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Sam Yoo, United States Military Academy; James Schreiner, United States Military Academy
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Engineering Management Division (EMD)
CourseAt USMA, EM411 Project Management, is an undergraduate-level course that all Studentsmajoring within the Department of Systems Engineering (DSE) complete. Students learn toinitiate, plan, execute, monitor, and control a project. Topics include project selection, projectmanager roles and responsibilities, organizational structure, project planning, budgeting,scheduling, resource allocation, monitoring and controlling, risk assessment and responsemanagement, and evaluation and termination. The end state is that each student understands theapplication of project management and the complex interrelated tasks associated with completingprojects on time, within budget, and to specification.The authors served as course directors, responsible for the
- Conference Session
- Engineering Management Division (EMD) Technical Session 2
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- 2024 ASEE Annual Conference & Exposition
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Raymond L. Smith III, East Carolina University; Henry Lester, University of Dayton
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Engineering Management Division (EMD)
-generatedcontent within the context of engineering management education, emphasizing the criticalimportance of upholding academic integrity. It explores the far-reaching impact of AI on theeducation sector, highlighting the emergence of AI detection tools that resemble plagiarismdetection tools aimed at evaluating the authenticity of student-submitted work. This studyexamines the efficacy of several leading AI detection tools, offering insights into their accuracyand dependability. Engineering management, with its diverse subfields encompassing leadership,organizational management, strategic planning, financial resource management, projectmanagement, and legal considerations, faces opportunities and challenges in integrating AI-generated material into