As early research on AI's potential effect on cognitive skill development continues to emerge, one practical, actionable response is gaining real traction among writing instructors thinking carefully about assignment design: deliberately sequencing writing assignments so that genuine, unassisted cognitive engagement, real thinking, real drafting, happens before AI support enters the picture at all, rather than allowing AI assistance to substitute for that initial cognitive work from the very start of an assignment.

This sequencing approach directly addresses the underlying concern behind cognitive-offloading research: the risk isn't AI assistance itself, it's AI assistance that substitutes for a student's own genuine cognitive effort before that effort has actually happened. A student who first works through their own initial understanding, drafts their own initial argument, and only then uses AI to support refinement, feedback, or specific technical tasks is engaging in a genuinely different cognitive process than a student who turns to AI before doing any of their own independent thinking at all.

This distinction offers a genuinely practical, implementable framework for classroom assignment design, one that doesn't require avoiding AI tools entirely but does require real intentionality about when, in the sequence of a writing assignment, AI assistance becomes appropriate to introduce.

A practical sequencing framework worth adopting

A workable sequencing approach might require students to submit an initial, independent outline or rough draft before any AI assistance is introduced, establishing genuine evidence of their own initial thinking and cognitive engagement, followed by a later stage where AI-assisted revision, feedback, or specific technical support becomes appropriate and available. This preserves the genuine cognitive engagement research suggests matters most, while still allowing students to benefit from AI assistance at the stages where it's most likely to support rather than substitute for their own thinking.

• Require an initial, independent outline or rough draft before introducing any AI assistance into a writing assignment's process
• Reserve AI assistance specifically for later-stage tasks: revision support, technical feedback, refinement, rather than initial idea generation and drafting
• Make this sequencing explicit to students, explaining the reasoning connects directly to genuine skill development, not just integrity enforcement
• Build checkpoint submissions into your assignment structure that naturally enforce this kind of sequencing
• Watch for continued research on cognitive offloading, since this is genuinely early-stage findings that will likely refine best-practice guidance further over time

How this connects to grading and feedback specifically

This sequencing principle offers a useful parallel for thinking about AI's role in grading as well: just as a student's own initial, unassisted engagement should come before AI support enters their writing process, a teacher's own genuine, informed judgment should remain central to the grading process, with AI-generated first-pass scoring supporting rather than substituting for that judgment. In both cases, the underlying principle is the same, AI as support for genuine human cognitive engagement, not a replacement that happens before that engagement occurs.

This parallel reinforces why human-in-the-loop grading design matters for the same underlying reason cognitive-offloading research suggests careful assignment sequencing matters: preserving genuine, primary human engagement, whether a student's own thinking or a teacher's own judgment, as the foundation the process is built on.

A practical response worth building into curriculum now

This kind of deliberate assignment sequencing offers a genuinely practical, implementable response to early but genuine research concerns about cognitive offloading, worth building into writing curriculum design this year as a proactive, thoughtful approach rather than waiting for more definitive research before making any adjustment at all.