Effective Prompting Strategies in Education
Basic prompting techniques.
Overview
Large Language Models (LLMs) can greatly enhance education by providing explanations, examples, and instant feedback. However, employing effective prompting techniques is critical. This affects whether LLMs support meaningful learning or potentially allow students to bypass learning altogether. Thoughtfully constructed prompts use principles from cognitive science, promoting active student engagement and deeper understanding.
Key Principles for Educational Prompting
1. Retrieval Practice
Encourage recall of learned information to strengthen memory.
2. Scaffolding
Break complex tasks into smaller steps to guide students gradually.
3. Metacognition
Promote self-reflection and justification of reasoning.
4. Cognitive Load Management
Chunk information clearly to prevent overload.
Effective Prompting Techniques
Set Clear Roles and Contexts
Provide explicit roles to guide the LLM’s responses.
Specify Tasks and Formats Clearly
Be specific to ensure precise responses.
Use Examples or Templates
Demonstrate the desired output.
Chain-of-Thought and Reasoning
Ask the LLM to detail its reasoning or provide multiple approaches.
Iterative Refinement
Treat prompting as an interactive process, refining outputs through conversation.
Use Markdown Formatting
Use Markdown formatting to make the prompt more readable (e.g. lists, bold, italics, etc.).
Example Teaching Activities
Illustrative Analogies
Practice Questions Generation
Lesson Planning
Interactive Problem Solving
Example Student Activities
Clarifying Concepts
Creating Study Guides
Self-Explanation and Reflection
Error-Checking Practice
Brainstorming Project Ideas
Reuse
Citation
@online{ellis2024,
author = {Ellis, Andrew and Hackstein, Stefan},
title = {Effective {Prompting} {Strategies} in {Education}},
date = {2024-03-27},
url = {https://virtuelleakademie.github.io/ki-lehre-intermediate/workshop/prompting/},
langid = {en}
}