The student applies prompt engineering techniques to improve the output of various AI models (level 2).
Contributing Skills
- RSD 1: Communication of Intentions Through Prompt Design: Communicate intentions and desired outcomes clearly to AI models through prompt design.
- RSD 2: Adaptation of Prompt Engineering Approaches: Adapt prompt engineering approaches to various use cases.
- RSD 3: Use AI to Compare Prompts: Compare prompt designs using artificial intelligence.
Evidence Statements
- ES 1: Given established methods of prompt engineering approaches, the student selects the best method to use for a given context (level 2).
- ES 2: The student designs a prompt for a chosen use case by leveraging an established method (level 2).
- ES 3: The student explains how prompts can be adjusted to improve outputs across various AI models (level 2).
Associated Learning Resources and Student Activities
- Forthcoming
Associated AI Literacy Competency Framework for Educators:
#1: AI Fundamentals
- Evaluate the strengths, weaknesses, and best-use cases for various AI algorithms (level 2).
#3: Critical Thinking and Fact checking
- Compare and contrast content outputs and interpretations from various AI tools (level 2).
#6: AI Pedagogy
- Conduct test and pilot studies of various AI tools and platforms in educational contexts [specific to generative AI] (level 2).