self-explanation-prompt-designer
CommunityDesign prompts that deepen self-explanation.
System Documentation
What problem does it solve?
Self-explanation prompts help teachers design questions that elicit deep reasoning about material, addressing the risk that prompts encourage surface description rather than robust explanation. The approach draws on Chi et al.'s foundational work and related metacognitive research to promote generation, reasoning, and transfer.
Core Features & Use Cases
- Structured prompt design with placement at conceptually dense points, rationale, quality indicators, and scaffolding sequences.
- Compatibility with digital learning environments and ability to chain with other AI-assisted teaching tools (e.g., metacognitive monitoring, adaptive hints).
- Use cases across STEM, literacy, and social sciences where understanding the underlying reasoning is essential.
Quick Start
Generate three deep self-explanation prompts for the provided material, placed at conceptually dense points, with rationale, quality indicators, and a basic scaffolding sequence.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: self-explanation-prompt-designer Download link: https://github.com/GarethManning/claude-education-skills/archive/main.zip#self-explanation-prompt-designer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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