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
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
students’ learning on these interpersonal, professional, and other non-technical work capabilities, the Whiting School of Engineering created the course EngineeringManagement & Leadership (EML). Here is an excerpt from the course description: When engineers become working professionals, especially if they become team leads, managers, or entrepreneurs, they must juggle knowledge of and tasks associated with team citizenship and leadership, ethics, strategy, operations, finance, and project management. While engineers’ success may depend on their own direct input, managers’ 1 success depends on their ability to enlist
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
ofengineering leadership research first assumes that leadership can be taught and therefore aims toidentify qualities, skills and styles in order to guide curricular and co-curricular programming.The framework by Farr et al. [33] contains both trait-like attributes such as “big thinker”,“ethical and courageous” and practiced skills and behaviors, such as “uses power wisely andgood communicator.” Their proposed leadership qualities framework is intended to supportassessment and development of engineers’ leadership abilities. While the classification ofleadership (for example, skills, competencies, qualities, attributes, themes etc.) varies betweenand even within works, what is valued in engineering leadership converges on a few commonattributes. Handley
members treatedRelationships each other with respect and appreciation). We laughed together, joked, poked fun good naturedly, and sharedHumor lighthearted moments. The team exercised perseverance, resilience, didn't get down, mood didn't getGrit down, kept trying, even keeled, drive, work ethic, avoided burnout.Problem Solving The team was effective at overcoming challenges. The team had a solid approach to identifying, planning for, and minimizingRisk Management risks to the project.Innovation/ The team used creativity and outside-the-box-thinking to improve theCreativity project.Collaboration
the minimum ABETrequirements.Criterion 3: Student Outcomes of ABET reinforce the importance of a global perspective onengineering topics. The two outcomes which explicitly demonstrate the value to internationalexperiences include [3]: - Student Outcome 2: “an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.” - Student Outcome 4: “An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which consider the impact of engineering solutions in global, economic
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