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- 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)
and swiftly. However, this shift also necessitates a reevaluationof the skill sets required in the workforce. Engineering managers will need to focus on developingskills in AI oversight, ethical use of AI-generated data, and integrating AI tools with human-centricdecision-making processes. The future work environment will emphasize collaboration betweenhuman intelligence and AI capabilities, where strategic thinking, creativity, and ethicalconsiderations in AI application become paramount [13]. Generative AI's impact extends beyondmere automation, heralding a new era of enhanced creativity, efficiency, and innovation inengineering management. By embracing these changes, organizations can unlock unprecedentedopportunities for growth
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- 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)
principles. We have summarized the technical and soft skills taughtin each of our courses and given the importance of each skill to engineering managers (Table 1).Our program distinction is the business courses, but we included our regular engineeringtechnology courses for comparison. These courses collectively develop a robust toolkit oftechnical and soft skills crucial for Engineering Managers to effectively lead technical teams,projects, and organizations. The emphasis on applying knowledge to real-world problems,communicating with diverse stakeholders, thinking critically and ethically, and workingcollaboratively prepares students for the multifaceted challenges and opportunities they will faceas Engineering Managers in industry. Graduates go to
- 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)
and aid in data-driven decision-making.Implications: The study findings depict the current usage of AI tools in project management andsuggest opportunities to update project management curricula to include AI-focused content,practical applications, and ethical considerations of AI. Educators are recommended to providehands-on experiences with AI tools, aligning academic teachings with current industry practices.This alignment is essential for preparing engineering graduates to meet the demands of aworkplace increasingly reliant on AI.Keywords: Artificial Intelligence, AI, ChatGPT, Project Management, Engineering Education,STEM Education, Chatbots, Industry Trends, Curriculum Development, AI Integration1. Introduction1.1 Evolution of
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- 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)
Developing Hands-on Competency in Generative AI with Ethical Considerations,” in ASEE Annual Conference & Exposition 2024.[38] Ryan Chan. “Closed Loop System in Technical Training – How to Initiate and Maintain a Student-Led Makerspace,” Proceedings of the international symposium on academic makerspaces (ISAM). Pittsburgh, PA. 2023.[39] Natalie Chan. “Scaling Up Student Tutor Programs in Academic Makerspaces: Best Practices and Challenges,” Proceedings of the international symposium on academic makerspaces (ISAM). Pittsburgh, PA. 2023.[40] Natalie Chan, Chun Kit Chui. “Embrace Diversity and Inclusion in Academic Makerspaces with a Network of Tutors (Work in progress),” in ASEE Annual Conference & Exposition 2024.[41] Match WL