2025 ASEE Annual Conference & Exposition

This study explores the entrepreneurial learning goals of graduate students and faculty engaged in academic entrepreneurship, focusing on how their roles and career stages influence their priorities. Using advanced natural language processing (NLP) and machine learning techniques, we analyzed qualitative survey responses to uncover key themes in entrepreneurial training. The analysis identified three primary desired learning goals of entrepreneurial teams: enhancing teamwork and collaboration, understanding market segmentation, and developing customer discovery and commercialization strategies. Graduate students emphasized teamwork and collaboration, reflecting their early career focus on skill-building and professional development, while faculty prioritized commercialization, aligning with their strategic and leadership roles. These findings reveal how career stages shape the learning needs of academic entrepreneurs and how NLP can be used to analyze and synthesize qualitative survey data.