Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Trini Sofia Balart, Texas A&M University; Sidney Katherine Uy Tesy, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

for longitudinal studies, AI literacy frameworks, andcross-disciplinary investigations to assess the long-term impact of GenAI on skill development. Thisreview contributes to the ongoing dialogue on AI's role in engineering education, offering insights foreducators, policymakers, and researchers. By ensuring a balanced approach that leverages GenAI’scapabilities while safeguarding human-centric education, this review aims to inform policy, drive futureresearch, and optimize GenAI's potential in preparing students for an AI-integrated world.Introduction In the rapidly evolving landscape of engineering education, developing durable skillssuch as critical thinking, problem-solving, creativity, communication, and collaboration hasbecome

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Evelyn Sowells-Boone, North Carolina A&T State University; Pal Dave, North Carolina A&T State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

succeed—and helps students form a positive STEM identity, both of which are strong predictors ofacademic persistence. Similarly, [4] found that students who participate in structured mentorshipprograms are more likely to remain in STEM majors and pursue advanced degrees. Thesementorship relationships provide students with guidance, role models, emotional support, andaccess to professional networks, thereby reducing the feelings of isolation that often discourageunderrepresented students from persisting in STEM fields [6]. Equally important are hands-onresearch experiences, which allow students to apply classroom knowledge to real-worldproblems, thus reinforcing their understanding and increasing their motivation. A meta-analysisby [7] found that