Female students are significantly more likely than male students to use AI for schoolwork and to seek advice from AI tools¶
Claim · All claims
Evidence · 1 study · associationalr2·q3·i1small
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i1 Females were significantly more likely to report using AI for schoolwork (65.0% vs. 49.5%, OR=1.81) and seeking advice from AI (27.0% vs. 14.1%, OR=2.35). → 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 · i1 · associational · r2
Pre-workshop logistic regression controlling for year level and school on the baseline survey. The article reports "OR=1.81" for schoolwork use and "OR=2.35" for advice-seeking, both significant at p<.05; problem-solving and recreational use differences were not significant.
"Females were significantly more likely to reportusingAIforschoolwork(65.0%vs.49.5%,OR=1.81,p=.045)andseeking advice (27.0% vs. 14.1%, OR=2.35,p=.021)."
Discussion¶
Learner Variables¶
- Gender — predictor: outcomes differ by group: a gap reflecting circumstances and treatment, not a cause
Related Claims¶
- 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
- Syntea usage rates differ slightly by gender, with female students (59.05%) higher than male students (54.94%) — related
- Gender, age and English proficiency show nuanced group differences in chatbot attitudes and concerns — related
- Deepfake behaviours show gender patterns: males more likely to have shared deepfakes, females more likely to have reported them — related
- Female students report higher job finding anxiety, AI anxiety, and negative AI attitudes than male students — related
- General AI literacy is not significantly related to in-service science educators' AI use or to their age, gender, or years of service — reports the opposite
- LLM learners are younger, more likely male, and score higher on technology affinity than non-learners — reports the opposite
- Male respondents were significantly more likely than non-male respondents to have no concern about their labour being used for military purposes — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
females-more-ai-schoolwork-and-advice-use |
title |
Female students are significantly more likely than male students to use AI for schoolwork and to seek advice from AI tools |
description |
Female students are significantly more likely than male students to use AI for schoolwork and to seek advice from AI tools |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — jake-renzella-2026 |
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