Vinicius Santana Gomes (2026) — arXiv:2606.01517.
Through Brazilian government case studies, demonstrates that a four-layer pedagogical methodology (Literacy, Protocol, Prompt Engineering, Audit) is the key to productivity gains (up to 50%), rather than premium models. This work emphasizes that ai-literacy is a developmental capacity requiring structured scaffolding and prompt-engineering discipline. It connects to the need for curriculum-design that targets metacognition and agentic-workflows rather than just syntax mastery.
Related Pages
- ai-literacy — central theme of current research
- scaffolding — critical for effective AI interactions
- curriculum-design — institutional response to agentic shifts
- metacognition — the barrier to uncritical reliance
- agentic-workflows — the professional future of AI use
- at-risk-students-ml-prediction -- Logistic regression and linear SVM achieve highest accuracy for predicting student attrition using academic, demographic, and enrollment data.