Female students show broader post-workshop gains than males, including significant increases in AI and computer science career interest, while male career interest remains unchanged¶

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i2 medium
Currency · newest study 2026 · checked against its sources 2026-10-17 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q3 i2 Female students showed significant medium-sized gains in career interest for AI (ΔM=+0.45, d=.52) and computer science (ΔM=+0.44, d=.47), while male students showed no significant change in career aspirations for either field. → Jake Renzella 2026 q3 i2 Females gained across a wider range of items, including understanding of AI training (d=.75), AI bias (d=.49), and data-consent importance (d=.31). → Jake Renzella 2026

Evidence¶

Jake Renzella 2026¶

Jake Renzella, Christian Bergh, Natasha Banks, and Alexandra Vassar. (2026). Gender Differences in AI Literacy Workshop Outcomes and Deepfake Engagement. https://arxiv.org/abs/2606.14718 doi:10.48550/arxiv.2606.14718

q3 · i2 · causal · r1

Pre–post OLS by gender (Table 3) on npost = 136 students. Female career-interest gains are printed as "d=.52" (AI) and "d=.47" (CS); male career items were non-significant (p=.645 and p=.613). Females also gained on AI training (d=.75) and bias understanding (d=.49).

"Mostnotably,femalestudentsshowedsignificantmedium-sizedgainsincareerin- terest for both AI (∆M= +0.45,d=.52) and computer science (∆M= +0.44, d=.47). Male students showed no significant change in career aspirations for either field."

Discussion¶

Learner Variables¶

• Motivation — outcome: instruction changes it
• Gender — moderator: an instructional effect differs by group
• Interest — outcome: instruction changes it

Related Claims¶

• GenAI function, intervention duration, publication year, and gender were not significant moderators of GenAI's motivational effect — the general claim this finding bears on, with the studies behind it
• Male secondary students report significantly higher STEM career interest than female students across AI, computer science, and engineering at baseline — related
• Both male and female students show statistically significant medium-sized gains in AI knowledge and confidence after a one-day AI literacy workshop — related
• Both genders improve in recognising AI's role in entertainment platforms after the workshop, with females additionally gaining in identifying TikTok — related
• Deepfake behaviours show gender patterns: males more likely to have shared deepfakes, females more likely to have reported them — related