Classroom to Career: Bridging Employability Gaps with Essential and Technical Skills for Aspiring Data Scientists

Poster Session VII - Research Proposal Posters

Keyword: Workplace Diversity

Abstract: This study examines how a culturally relevant pedagogical approach improves essential soft and technical skills in AI and Data Science for minoritized students. Using a mixed-methods design, the research evaluates skill development proficiency and explores key components contributing to long-term academic and professional success.

• Stephanie Tavarez (Presenting Author)
• Laura Chacon-Marmolejos (Author)
• Hannah Morris (Author)