self-explanation-prompt-designer

Name: self-explanation-prompt-designer
Availability: InStock
Author: vvieira010-pixel

Design self-explanation prompts that transform study materials into active reasoning activities.

Updated Jun 14, 2026

Search Tags:#prompt design #metacognition #worked examples #tutoring #learning science #student assessment #self-explanation

Ready to run

npx skills add https://github.com/vvieira010-pixel/education-agent-skills --skill self-explanation-prompt-designer-vvieira010-pixel

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: self-explanation-prompt-designer
Source: https://github.com/vvieira010-pixel/education-agent-skills/tree/main/Users/vviei/education-agent-skills-main/skills/ai-learning-science/self-explanation-prompt-designer
Command: npx skills add https://github.com/vvieira010-pixel/education-agent-skills --skill self-explanation-prompt-designer-vvieira010-pixel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps educators overcome passive learning by designing prompts that make students explain reasoning, connect ideas, and build deeper conceptual understanding instead of merely repeating information.

Core Features & Use Cases

Evidence-Based Prompt Design: Creates self-explanation prompts grounded in learning science research to target why and how reasoning.
Strategic Prompt Placement: Identifies high-value moments in worked examples, texts, diagrams, and demonstrations where prompts can improve understanding.
Response Evaluation Support: Defines quality indicators, shallow response patterns, and scaffolding sequences for teachers or AI tutors.
Use Case: A teacher can provide a worked mathematics example or biology passage and receive targeted prompts that encourage students to uncover underlying principles and misconceptions.

Quick Start

Use the self-explanation prompt designer skill to create deep-learning questions for this material and explain what students should understand: [insert learning material and target understanding].

Frequently Asked Questions about self-explanation-prompt-designer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create self-explanation prompts for worked examples?▼

Self-explanation prompts transform passive study materials into active reasoning tasks. You provide educational content like worked examples or texts, and the system generates strategically placed questions targeting why and how reasoning to build deeper conceptual understanding.

What is the best way to design prompts that encourage metacognition in tutoring systems?▼

Designing prompts for metacognition involves generating questions that make students explain underlying principles and connect ideas. The system defines quality indicators and scaffolding sequences aligned with learning science to evaluate student response quality and address misconceptions.

Can I use self-explanation prompt design for multimedia lessons and diagrams?▼

Yes, self-explanation prompt design applies to multimedia lessons, diagrams, texts, and demonstrations. It identifies high-value moments within these materials where explanation prompts can significantly improve student comprehension and uncover hidden misunderstandings.

How do I evaluate shallow responses to self-explanation prompts?▼

Evaluating shallow responses requires predefined quality indicators and response patterns. The system defines these indicators alongside scaffolding sequences, enabling teachers or AI tutors to identify superficial answers and guide students toward deeper conceptual connections.

Does self-explanation prompt design work for student assessment in learning science?▼

Yes, self-explanation prompt design works for student assessment by creating prompts that require active reasoning rather than information repetition. It generates targeted questions that help educators evaluate if students truly understand the underlying principles of the material.

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