wab
wab — yIlaD.
{study notes}
- **Qapla'! {AI} impacts curriculum, pedagogy, and assessment differently across disciplines** - Your disciplinary expertise determines how to navigate these disruptions
- Three critical questions to analyze: What gets automated in your field? Where does human-{AI} partnership add the most value? How do we prepare students for accountability with {AI} systems?
- Disruption patterns vary - Some areas transform completely while others remain stable; curriculum may stay constant while assessment evolves, or vice versa
- Your disciplinary expertise is the foundation - Understanding your field's core values, methods, and ways of thinking is essential for meaningful {AI} integration
- Identify which human skills become more crucial - As {AI} handles routine work, determine which competencies students need to work effectively with {AI} in your discipline
- Distinguish genuine learning from shortcuts - Assess where {AI} genuinely enhances learning experiences versus where it short-circuits authentic understanding
- Design assessments that demonstrate mastery - Create authentic assessments that value creativity, judgment, synthesis, and process alongside final products when {AI} access is available
- {AI} Fluency amplifies rather than replaces disciplinary expertise - Your knowledge determines which disruptions are opportunities to leverage and which are problems to solve
{flashcards} 10 {cards}
{question}
yI'ang · ←/→
{answer}
{flip}
{knowledge check} 6 {questions}