SYMP25S: AI As An Equalizer: Empowering Underrepresented Students for High-Demand Careers

Ajanee Igharo

Document Type

Article

Publication Date

2025

Keywords

Artificial Intelligence

Disciplines

Artificial Intelligence and Robotics

Abstract

In an era where AI and big data skills rank among the fastest-growing competencies in the workforce, ensuring that students from underrepresented backgrounds can access cutting-edge career preparation is critical. This study explores how generative AI tools (such as large language models) can help level the playing field by building students' skills, confidence, and personal brand for success in competitive, AI-driven fields like consulting and venture capital. We employed a mixed-methods approach - including literature review and student focus groups - to investigate the educational and career-development potential of tools like ChatGPT. Key findings indicate that generative AI can serve as a personalized tutor and career coach, helping to bridge skill gaps and bolster self-confidence. This report expands on the research and reflects on the personal and professional impact of AI in my own journey.

Comments

Free and open access to this Campus Access Thesis is made available to the UMass Boston community by ScholarWorks at UMass Boston. Those not on campus and those without a UMass Boston campus username and password may gain access to this thesis through Interlibrary Loan. If you have a UMass Boston campus username and password and would like to download this work from off-campus, click on the “Off-Campus Users” button.

Community Engaged/Serving

Part of the UMass Boston Community-Engaged Teaching, Research, and Service Series. //scholarworks.umb.edu/engage

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