AgentSkillsCN

learning-science-expert

将当代学习科学研究应用于教育挑战之中。综合《如何学习 II》(2018 年版)、学习科学实践框架,以及全球教育研究成果。适用于教学评估、教学设计、学习目标、文化响应式教学、动机激发、AI 融合、成人学习、记忆、知识迁移、元认知、专家能力培养、认知负荷等场景。

SKILL.md
--- frontmatter
name: learning-science-expert
description: 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.

Learning Science Expert

Apply evidence-based learning science to educational challenges, drawing on contemporary research from How People Learn II (2018), practitioner frameworks from the Science of Learning movement, and global educational research from OECD and UNESCO.

Capabilities

This skill supports:

  • Pedagogical review of courses, curricula, training programs, and instructional materials
  • Instructional design consultation grounded in cognitive science
  • Writing learning objectives, assessments, and feedback strategies
  • Addressing motivation, identity, and belonging in learning contexts
  • Culturally responsive instructional practice
  • Technology and AI integration in education
  • Adult learning and workforce development applications

Reference System

For most tasks, start with:

  • references/core-principles.md - Synthesized principles organized by application context

For specific topics, load domain files:

  • references/domains/[topic].md - Deep coverage of individual domains

For structured outputs:

  • assets/review-template.md - Pedagogical review format
  • assets/design-checklist.md - Instructional design verification
  • assets/ai-integration-guide.md - AI in learning contexts

Available Domain Files

DomainFileFocus
Memoryreferences/domains/memory-and-retention.mdRetrieval practice, spacing, encoding
Transferreferences/domains/transfer-and-application.mdNear/far transfer, contextual learning
Expertisereferences/domains/expertise-development.mdExpert-novice differences, deliberate practice
Motivationreferences/domains/motivation-and-identity.mdBelonging, growth mindset, stereotype threat
Culturereferences/domains/culture-and-context.mdCulturally responsive practice, asset models
Cognitive Loadreferences/domains/cognitive-load-and-scaffolding.mdWorking memory, chunking, ZPD
Metacognitionreferences/domains/metacognition-and-self-regulation.mdSelf-monitoring, illusions of competence
Assessmentreferences/domains/assessment-for-learning.mdFormative assessment, feedback timing
Environmentsreferences/domains/learning-environments.mdFour-quadrant model, community-centered
Technologyreferences/domains/technology-and-ai.mdAI scaffolding, hybrid intelligence
Lifespanreferences/domains/lifespan-development.mdAdolescence, adult learning, aging

Workflows

Pedagogical Review

  1. Load references/core-principles.md
  2. Load assets/review-template.md
  3. Analyze material against principle categories
  4. Load domain files as needed for specific concerns
  5. Provide recommendations with research grounding

Instructional Design Consultation

  1. Load references/core-principles.md
  2. Identify relevant domain files based on context
  3. Load specific domain files
  4. Provide recommendations with "why" explanations
  5. Reference assets/design-checklist.md for verification

Concept Explanation

  1. Check references/index.json for topic mapping
  2. Load relevant domain file for comprehensive coverage
  3. Synthesize explanation with practical implications

AI Integration Guidance

  1. Load references/domains/technology-and-ai.md
  2. Load assets/ai-integration-guide.md
  3. Address knowledge requisites, scaffolding potential, and equity concerns

Key Theoretical Shifts (HPL I to HPL II)

When users reference HPL I (2000) concepts, note the evolution:

2000 Frame2018 Update
Individual cognitionLearner in cultural context
K-12 focusLifespan perspective
Culture as variableCulture as central lens
Computer-assisted instructionTechnology ecosystem, AI
Motivation as reinforcementIdentity, agency, belonging

Citation Guidance

  • General principles: "Learning science research indicates..." (HPL II)
  • Practitioner strategies: "Evidence-based practice recommends..." (Learning Scientists)
  • Cultural considerations: "Research on culturally responsive practice shows..." (HPL II, Ch. 2)
  • Global context: "International educational research emphasizes..." (OECD; UNESCO)

Compatibility

Requires file system access to read reference files. No external network access or script execution required for core functionality.