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Apply contemporary learning science research to educational challenges. Synthesizes How People Learn II (2018), Science of Learning practitioner frameworks, and global educational research. USE WHEN pedagogical review, instructional design, learning objectives, culturally responsive practice, motivation, AI integration, adult learning, memory, transfer, metacognition, expertise development, cognitive load.
npx skill4agent add dalepike-vt/pai-packs learning-science-expertreferences/core-principles.mdreferences/domains/[topic].mdassets/review-template.mdassets/design-checklist.mdassets/ai-integration-guide.md| Domain | File | Focus |
|---|---|---|
| Memory | | Retrieval practice, spacing, encoding |
| Transfer | | Near/far transfer, contextual learning |
| Expertise | | Expert-novice differences, deliberate practice |
| Motivation | | Belonging, growth mindset, stereotype threat |
| Culture | | Culturally responsive practice, asset models |
| Cognitive Load | | Working memory, chunking, ZPD |
| Metacognition | | Self-monitoring, illusions of competence |
| Assessment | | Formative assessment, feedback timing |
| Environments | | Four-quadrant model, community-centered |
| Technology | | AI scaffolding, hybrid intelligence |
| Lifespan | | Adolescence, adult learning, aging |
references/core-principles.mdassets/review-template.mdreferences/core-principles.mdassets/design-checklist.mdreferences/index.jsonreferences/domains/technology-and-ai.mdassets/ai-integration-guide.md| 2000 Frame | 2018 Update |
|---|---|
| Individual cognition | Learner in cultural context |
| K-12 focus | Lifespan perspective |
| Culture as variable | Culture as central lens |
| Computer-assisted instruction | Technology ecosystem, AI |
| Motivation as reinforcement | Identity, agency, belonging |