Simple Prompt Structuring Can Help You Rethink Assignment Design

Lance Cummings explores the transformative idea of training students to write for AI rather than just using it. He dives into the importance of structured AI prompts and knowledge bases, demonstrating how these skills can enhance both AI capabilities and student learning. By organizing information effectively, students can build better, more ethical AI systems.
The significance of structured AI prompts and knowledge bases.
Practical examples of how students can create specialized AI models for various subjects.
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// Table of Contents
00:10 - Historical Context: Rhetoric to AI
00:32 - Evolution of Teaching: From Speeches to AI
00:42 - Proposal: Training Students to Build AI
00:53 - Importance of Structured AI Prompts
01:03 - Understanding AI: Vectors and Data
01:24 - How AI Processes Information
01:35 - Benefits of Structured Information for AI
01:48 - Example: Structured vs. Unstructured Prompts
02:08 - Organizing Knowledge for AI Efficiency
02:19 - Expanding Prompts to Knowledge Bases
02:30 - Enhancing AI with Targeted Knowledge
02:48 - Introduction to RAG Technology
03:09 - How RAG Improves AI Outputs
03:20 - Library Analogy: Organizing Information
03:41 - Teaching Students to Manage Knowledge
04:03 - Classroom Example: Teaching Structure
04:35 - Practical Application: LinkedIn Post Analysis
05:06 - Improving AI Outputs with Templates
05:38 - Adding Specific Knowledge to AI Prompts
06:10 - Expanding Knowledge Bases in Education
06:31 - Practical Classroom Applications
06:55 - Conclusion: Making Students AI Builders
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