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An Evidence-Based Approach to Technology Workforce Expansion by Increasing Female Participation in STEM Entrepreneurship

Conference Session
Engineering Management Division (EMD) Tech Session 2: Course-level strategies to positively impact student learning and experiences
Collection
2023 ASEE Annual Conference & Exposition
Authors
Jonathan Eckhardt, University of Wisconsin - Madison; Minah Park, University of Wisconsin-Madison; Molly Carnes; Jennifer Sheridan, University of Wisconsin - Madison; Markus Brauer, University of Wisconsin - Madison; Brent Goldfarb; Subrahmaniam Tangirala, University of Maryland, College Park
Tagged Topics
Diversity
Tagged Divisions
Engineering Management Division (EMD)
. Women Q., vol. 30, no. 1, pp. 36–46, Mar. 2006, doi: 10.1111/j.1471-6402.2006.00260.x.[47] E. P. Bettinger and B. T. Long, “Do faculty serve as role models? The impact of instructor gender on female students,” The American Economic Review, vol. 95, no. 2, pp. 152–157, 2005, [Online]. Available: https://pubs.aeaweb.org/doi/pdf/10.1257/000282805774670149[48] R. J. Ely, “The Effects of Organizational Demographics and Social Identity on Relationships among Professional Women,” Administrative Science Quarterly, vol. 39, no. 2, pp. 203–238, 1994, doi: 10.2307/2393234.[49] C. L. Hoyt and S. Simon, “Female Leaders: Injurious or Inspiring Role Models for Women?,” Psychology of Women Quarterly, vol. 35, no. 1, pp
Relevance Score: 0.015144777

Investigating the Industry Perceptions and Use of AI Tools in Project Management: Implications for Educating Future Engineers

Conference Session
Engineering Management Division (EMD) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sakhi Aggrawal, Purdue University ; Paul J. Thomas
Tagged Topics
Diversity
Tagged Divisions
Engineering Management Division (EMD)
were defined as any software or system that utilizesartificial intelligence techniques to assist with or automate project management tasks. Thisincludes but is not limited to machine learning algorithms, natural language processing,predictive analytics, chatbots, and virtual assistants. Chatbots specifically refer to AI-poweredconversational agents that interact with users via text-based interfaces, while virtual assistantsincorporate both text and voice-based interaction. These definitions were provided toparticipants in Survey Preamble. Table 1. Survey Data Collection Instrument Q# Question Options/Response Type
Relevance Score: 0.015144777