What are the four components of the AI Fluency framework used for material creation?	Delegation, Description, Discernment, and Diligence (the 4Ds).
In the 4D framework, what does "Delegation" require the user to understand when starting material creation?	What materials are needed and the underlying pedagogical reason (problem awareness).
How does the "Description" step leverage established context when creating new learning materials?	By combining the established context with specific, detailed requirements for each material.
What is the primary function of the "Description-Discernment loop" in refining AI suggestions?	To move beyond simple acceptance/rejection by explaining *why* an AI suggestion works or fails for specific students.
What critical elements must be addressed during the "Diligence" step when using AI?	Protecting sensitive data, verifying accuracy, checking for bias, and ensuring transparency about AI's role.
According to the lesson, what is the most important focus when creating learning materials using AI?	Coherence and quality, rather than just maximizing efficiency or speed.
Why is having an "established context" beneficial when applying AI Fluency?	It makes each new workflow significantly better and more coherent than starting the process from scratch.
When designing assessments in the age of AI, what must the focus be to maintain academic integrity?	Designing assessments that promote authentic learning and require higher-order thinking.
What is the key benefit of building learning materials using the 4D framework?	The resulting materials build coherently, align with objectives, and embody the educator's pedagogical vision.
When creating a learning guide or slide deck, what must the user ensure during the final check?	Factual accuracy, verification of citations, and alignment with the course's learning objectives.