We focus on instructional design that intentionally fosters human competencies—critical thinking, creativity, and ethical judgment—which AI must support, not replace.
We shift instruction from tasks to ask students to produce an outcome, to tasks that require them to critique, evaluate, and govern the knowledge AI generates. This centers learning on human skills.
Authentic Assessment Models
Moving beyond traditional testing to tasks that demand systems thinking and complex problem-solving, leveraging AI as a powerful analytical partner.
AI Literacy Frameworks for Students
Defining what students need to know to ethically and effectively use, prompt, and critique generative tools- shifting focus to critical judgment.
Strategies for Productive Struggle
Techniques for implementing ethical scaffolding and assignment redesign to prevent "short-cutting" cognitive growth while fostering true learning.
UDL and Personalization
Guidance on leveraging AI for differentiation, translation, and accessibility to ensure the learning process is truly personalized for all learners.
MNGAIA Authenticity Gallery
Assignments and assessments for authentic learning.
-SAMPLES-
Featured Model: *Reverse Engineering Workflow*
See how this instructional strategy uses AI to generate an initial, imperfect draft, forcing students to analyze, critique, and improve the output to build deeper comprehension.
Case Study: Cultivating Systems Thinking
Read about a Minnesota history teacher who now uses AI to generate multiple perspectives on a complex event, requiring students to synthesize evidence and challenge assumptions (Pillar 4 alignment).
Human-Centered Pedagogy (Pillar 2) is our long-term vision and ultimate goal.
This is made possible by the time and security afforded by the urgent and ongoing focus on Policy and Reclaiming Time for Connection (Pillars 1 & 3).