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Analyzing the Impact of Two Co-Curricular Undergraduate Experiential Learning Programs on STEM Students’ Career Readiness

Conference Session
Multidisciplinary Engineering Division (MULTI) Technical Session 10
Collection
2025 ASEE Annual Conference & Exposition
Authors
Rea Lavi, Massachusetts Institute of Technology; Gregory L. Long, Massachusetts Institute of Technology; M. Mehdi Salek; Amitava 'Babi' Mitra, Massachusetts Institute of Technology; Sarah Elena McCullough, Massachusetts Institute of Technology
Tagged Divisions
Multidisciplinary Engineering Division (MULTI)
Elena McCullough, Massachusetts Institute of Technology ©American Society for Engineering Education, 2025 Analyzing the Impact of Two Co-Curricular Undergraduate Experiential Learning Programs on STEM Students’ Career Readiness1. Career readiness, 21st century skills, and role modelsThe number of science, technology, engineering, and mathematics (STEM) graduates in the UShas increased in recent years, leading to more competition for available STEM jobs [1]. US-based employers have reported that STEM alumni show deficits in employability-related, genericskills, also termed ‘21st century skills’ [2].Developing students’ 21st century skills remains a challenge for many higher
Relevance Score: 0.42737675

Using Generative AI to Improve the Research Experience of MS Students in Robotics

Conference Session
Multidisciplinary Engineering Division (MULTI) Technical Session 8
Collection
2025 ASEE Annual Conference & Exposition
Authors
Resha Tejpaul, University of Minnesota ; Travis Henderson; Nicole Kennedy; Nikos Papanikolopoulos, University of Minnesota - Twin Cities
Tagged Divisions
Multidisciplinary Engineering Division (MULTI)
thedevelopment of evidence-based strategies for educational policy by gathering insights into theirobjectives for using Generative AI, their ethical considerations, such as concerns aboutmisinformation and policy ambiguities, and their recommendations for integrating Generative AIinto the curriculum. Understanding student behavior and perceptions is crucial; prior researchindicates that students predominantly maintain favorable attitudes toward applying Generative AIin academic contexts; however, they also raise valid concerns regarding accuracy and ethicaldilemmas. Our study offers quantitative insights into usage trends and qualitative perspectives onstudent recommendations, with a strong focus on a graduate-level STEM environment. Thefindings may
Relevance Score: 0.42587984