Design Scaffolded Inquiry Questions with Bloom’s or DOK

Build a coherent question sequence that increases cognitive demand and includes model responses, follow-ups, and differentiation supports. This mini-course is built around the Scaffolded Inquiry Question Sequence Designer, a guided AI assistant that asks focused questions one at a time before creating a progressive inquiry sequence with cognitive labels, exemplary responses, deeper probes, and question-specific scaffolds.

You will learn how to prepare a topic or source text, grade level, learning goal, preferred cognitive framework, student readiness, and known barriers. The course shows you how to respond to the assistant’s guided workflow, keep the conversation focused, and shape the output around your real educational context.

By the end, you will be able to use ChatGPT to produce a progressive inquiry sequence with cognitive labels, exemplary responses, deeper probes, and question-specific scaffolds, then evaluate it for logical progression, framework fidelity, rigor, measurable thinking, tailored differentiation, and age appropriateness. You will leave with a repeatable process that can be adapted to future tasks while keeping professional judgment in the loop.