- Conference Session
- DASI Technical Session 2: Artificial Intelligence in Higher Education
- Collection
- 2025 ASEE Annual Conference & Exposition
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Lauren Singelmann, Minnesota State University, Mankato; Jack Elliott, Minnesota State University, Mankato; Yuezhou Wang, Minnesota State University, Mankato; Jacob John Swanson, Minnesota State University, Mankato
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Diversity
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Data Science and Artificial Intelligence (DSAI) Constituent Committee
2) an evaluation phase where participants assessed ChatGPT’s performance incompleting these tasks. These activities were designed to improve GAI literacy while alsobuilding the 3 Cs of the entrepreneurial mindset (connection-building, curiosity, and creatingvalue) [11].The survey portion of the activity included ten different tasks for participants to evaluate. Foreach task, participants were asked to rate their confidence that ChatGPT would be able tocomplete the task on a scale from 1-5 with 1 being “not confident at all” and 5 being “veryconfident”. Participants were instructed to not complete any testing during this phase. Further,these tasks were designed to be relevant to the participant group, so each of the three groups hadslightly
- Conference Session
- DSAI Technical Session 10: Research Infrastructure and Institutional Insights
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
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Pallavi Singh, University of South Florida; Joel Howell; Joshua Karl Thomas Ranstrom, University of South Florida; Wilfrido A. Moreno P.E., University of South Florida
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Data Science and Artificial Intelligence (DSAI) Constituent Committee
it to suit their specific program requirements.While the PFE Qualification Plan was developed specifically within the context of engineeringeducation at the University of South Florida, its foundational principles are broadly applica-ble to a wide range of disciplines and institutional contexts. The core elements, structuredgoal setting, ambition level benchmarking, and competency-based tracking, align closely withbroader educational initiatives such as the Kern Entrepreneurial Engineering Network (KEEN)focus on entrepreneurial mindset development and the National Academy of Engineering’s(NAE) Grand Challenges Scholars Program, which emphasizes competencies beyond tech-nical expertise. Institutions seeking to enhance career readiness can