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AI Literacy

The Writing Program is conducting a pilot program to introduce AI literacy content in select first-year seminar courses for the 25S term.

Pilot Learning Outcomes

The following are the learning outcomes for AI literacy during the pilot term (25S). These are revised from a larger set of outcomes derived from several AI literacy frameworks including those created by the MLA/CCCC,  Educause/Barnard, Stanford Teaching Commons, and Digital Promise.

 

Fuctional/Foundational

  1. Understand why AI literacy is important/meaningful to students. 
  2. Understand how GenAI works, including its capabilities and limitations, how it uses data, parameters, and inputs to function, and how applications and model creators shape the use of these tools (guardrails, safety, and bias reduction efforts). 
  3. Define the terms AI, GenAI, ML, and LLM.

Critical

  1. Understand the drawbacks of using AI; recognize and understand hallucinations. 
  2. Determine if and how AI is the right tool for the job; recognize when using GenAI is not appropriate for a writing or research task. 
  3. Consider the ethical implications of AI use. 
  4. Evaluate GenAI outputs for accuracy, relevancy, and bias and analyze outputs to determine whether the results align with the purpose of a task/prompt.

Creative/Interactive/Rhetorical

  1. Appropriately source, cite, and document GenAI, if used in academic settings (includes recognizing where AI use is warranted).
  2. Differentiate between authentic human communication/content and AI-generated content (includes being able to identify rhetorical patterns in AI-generated text).