Conference Session

ENT-1: Innovative Approaches to Student Engagement and Belonging in Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Andrea T Kwaczala, Western New England University; Andrea Davis, Western New England University; Heidi Ellis, Western New England University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

-confidence in their individualskills in oral communication, specifically related to presentations, but these results requireadditional research to confirm these findings.Using AI to Assess Student Outcomes: Co-Pilot and ChatGPT were both used to evaluate pitchtranscripts using the Grading Rubric. The results of AI-evaluations were compared to the facultyevaluations using the same grading rubric. This was limited to transcripts of the pitch as anyonline video-based platform for video analysis was by paid subscription only. In identifyingavailable AI tools, some interesting subscription-based options we discovered. These tools focusspecifically on video analysis of body language and pitch performance, including uSpeek(Sarang, 2023) and Bodha (Cadet

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Keilin Jahnke, University of Illinois Urbana-Champaign

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

future role of generative AI in creativity and design, how you might utilize what you have learned in the course, and reflections on what you are learning in the course and the creative process. You should plan on writing at least a few paragraphs in this section every week.Figure 2. Descriptions for the sections that constitute the Foundational Creativity part of the Creativity Portfolio. Part 2: AI + Creativity Now is the time to use AI. For this section, please use your preferred generative AI tool (examples include Microsoft Copilot, Gemini, and ChatGPT) and write down which one(s) you used. Please record every prompt and output (yes, these sections will be long). Make sure your prompts are

Conference Session

ENT-3: Transforming Engineering Curriculum through Entrepreneurial Approaches

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joshua Gargac, Ohio Northern University; Shuvra Das, University of Detroit Mercy; Kurt M Degoede, Elizabethtown College; Sara A. Atwood, Elizabethtown College

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

, showcasing an enhanced ability to analyze and learn from failure. Table 4: Summary of ChatGPT comparison of pre-course and post-course responses to “How would you define a healthy mindset toward failure?” Pre- Post- Change Example Pre-Course Theme Course Course Example Post-Course Response (%) Response (%) (%) "By viewing it as a steppingstone to fully Focus on learning and understanding the content

Conference Session

ENT-8: Mentorship, Creativity, and Ethics in Academic Entrepreneurship

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christina McGahan, Vanderbilt University; Charleson S Bell, Vanderbilt University; Deanna Meador, Vanderbilt University; Christopher Harris, Vanderbilt University; HD McKay, Vanderbilt University, Management Library; Yiorgos Kostoulas, Vanderbilt University; Kevin Galloway, Vanderbilt University; Philippe M. Fauchet, Vanderbilt University; David A. Owens, School of Engineering, Vanderbilt University; Sharon M. Weiss, Vanderbilt University

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

in nano-makerspace, intellectual property strategy 4 Structured lab in nano-makerspace (I), case study with nanoscience entrepreneur (II) 5 Structured lab in nano-makerspace (II), team management, project idea brainstorming 6 Structured lab in nano-makerspace (III), computer-aided design 7 Project selection, identifying project value proposition and customer segment, project BMC check-in, identifying project prototype fabrication approach 8 Market landscape and customer relationships for project, library databases and ChatGPT 9 Storytelling, project BMC check-in, student-led

Conference Session

ENT-4: Experiential Approaches to Developing Entrepreneurial Mindsets in Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Stephanie G Wettstein, Montana State University - Bozeman

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

could focus on performing the jigsaw activities without thealumni present or the seminar series to see if the change in EM is similar and a larger sample sizeof students would benefit the study.AcknowledgmentsI would like to acknowledge the Robert D. and Patricia E. Kern Family Foundation, Inc. and thetask force of leaders representing the Engineering Unleashed Faculty Development communitywho selected me for the KEEN Fellowship and provided the grant funds for the activities.Additionally, I would like to thank Dr. Douglas Hacker who performed the statistical analysesreported within. During the preparation of this work, I used ChatGPT in order to improve thereadability and concision of the document. After using ChatGPT, I reviewed and edited

Conference Session

ENT-5: Pathways for Developing Entrepreneurial Skills Across Educational Levels

Collection

2025 ASEE Annual Conference & Exposition

Authors

John Reap, Quinnipiac University

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

outputs from recently developed AI tools is a quite newchallenge that research communities are just now forming to address [23]. An investigation ofAI accuracy found that ChatGPT 3.5 proved, “…generally good at writing concepttopics…”[24]. One reasonably classifies a literature survey task as a concept topic, suggestingthe potential for accurate results from AI. However, this work uses Gemini 1.5 Flash, notChatGPT 3.5. Verhulsdonck and coauthors introduce a subjective means of evaluating theaccuracy of AI generated content independent of the particular tool [24]. Their HEAT method,an acronym formed from Human experience, Expertise, Accuracy and Trust, attempts tosubjectively gage AI output credibility. In this work’s contents, the H and E terms