Students exhibit an inverted competence profile, endorsing creation-level GenAI tasks above several foundational items that would normally precede them¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1–r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Create-level items 7.1 and 7.2 reached 70% and 65% endorsement among students, above foundational item 1.3 at 52%, while the hardest Evaluate threshold (6.4) reached only 8%. → Oliveira 2026 q2 i? 97% of students visualised in the Guttman chart showed at least one out-of-sequence mastery response, confirming jagged, non-linear profiles. → Oliveira 2026 (2)

Evidence¶

Oliveira 2026¶

Oliveira, E., English, N., Ryan, T., Misiejuk, K., dal Ponte, C., López-Pernas, S., & Saqr, M. (2026). The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacy. Preprint. https://arxiv.org/abs/2607.05411 doi:10.48550/arxiv.2607.05411

q2 · i? · associational · r2

Guttman chart and endorsement analysis of the student cohort (n=98). The study found "Create-level items 7.1 and 7.2 reach 70% and 65% endorsement—above several foundational items", with metacognitive self-evaluation (item 6.4) at just 8%.

"Create-level items 7.1 and 7.2 reach 70% and 65% endorsement—above several foundational items that would normally precede them. Item 1.3 (“Define key genAI components”) is endorsed by only 52%, falling below both,"

Oliveira 2026 (2)¶

Oliveira, E., English, N., Ryan, T., Misiejuk, K., dal Ponte, C., López-Pernas, S., & Saqr, M. (2026). The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacy. Preprint. https://arxiv.org/abs/2607.05411. doi:10.48550/arxiv.2607.05411

q2 · i? · associational · r1

Guttman chart inspection of student response vectors. The authors report that "32 of the 33 students in the Guttman visualisation (97%) showed at least one out-of-sequence mastery response", indicating non-linear profiles are the norm.

"32 of the 33 students in the Guttman visualisation (97%) showed at least one out-of-sequence mastery response, confirming that jagged, non-linear profiles are the norm here."

Discussion¶

Related Claims¶

• Academic staff follow a traditional foundational-to-advanced GenAI skill trajectory, with creation items the least endorsed — related
• Students hit a metacognitive ceiling, endorsing high-level creation more frequently than the hardest metacognitive and evaluative thresholds in their ordering — related
• Professional staff show a pragmatically compressed GenAI profile with high ethical awareness and the widest span of create-level endorsement of any cohort — related
• A pronounced AI adaptation gap exists across university groups: students report higher current AI-use intensity and perceived usefulness than faculty and administrative staff, whereas staff report stronger academic integrity concerns and greater endorsement of responsible-use norms — related