Teaching AI Fluency
← Hoch {lessons}
{lesson} 05Teaching AI Fluency

Study Notes

wab

wab — yIlaD.

{study notes}
  • Authenticity - {assignments} SuvwI'pu'vaD qo'noS-like AI collaboration yIjatlhbe'chugh, ghobe' Qapla'
  • Iteration - yIjatlhbe'chugh, yIjatlhbe'chugh, yIjatlhbe'chugh. Qapla'pu' yIjatlhbe'chugh, ghapla' yIjatlhbe'chugh
  • Pedagogical transparency - collaboration process yIjatlhbe'chugh, outputs neH ghobe'
  • Outcome-based assignments - AI outputs yIjatlhbe'chugh, {systems} yIjatlhbe'chugh - SuvwI'pu' collaboration yIjatlhbe'chugh
  • Process-based assignments - annotated chat logs, recorded narrations - invisible decision-making yIjatlhbe'chugh
  • Reflection-based assignments - learning journals, personal policy statements - metacognitive awareness yIjatlhbe'chugh
  • Volume management - detailed rubrics, peer review, lightning round conferences, selective sampling - grading burden yIjatlhbe'chugh
{flashcards} 10 {cards}
{question}
yI'ang · ←/→
{answer}
{flip}
Anki (.tsv) ↓
{knowledge check} 6 {questions}