Grading the Journey: How Learning Intelligence Reveals the Work Behind Student Submissions in Higher Education

You can read a completed essay start to finish and still have no idea how the student got there.

That problem is older than generative AI. Essays and exams were never a precise measure of learning, they were the best tool available at the time. AI just removed the last bit of cover, and now the polished submission tells you even less than it used to.

Every workaround costs faculty something. "AI-proofing" an assignment buys a single semester. Detection produces accusations you have to defend. Blue books trade away everything else the course was supposed to build. This session walks through a different starting point: assume AI is in the room. Then, make the student's planning, reasoning, and revision visible while the work is happening so you have something real to teach into and grade against.
 

In this webinar, you’ll learn how to:

1. Make The Student Learning Process Visible: See the timeline of their initial outlines and draft revisions to source verifications so you evaluate authentic reasoning rather than guessing about an output.
2. Reclaim Your Workload (and Weekends!): Leverage built-in coaching that guides student mechanics and critical thinking in real-time before work is submitted, saving you hours on routine feedback.
3. Implement Process-Based Grading Fast: Build and deploy a process-visible activity using your existing LMS without needing to overhaul your entire course syllabus.
4. Transition from AI Policing to Pedagogical Coaching: Replace high-stress AI surveillance with transparent, auditable student effort signals that build classroom trust and protect academic integrity.

This webinar is for you if:

• You've already tried banning AI, detecting it, or redesigning around it, and none of it held up past a term.
• You need a scalable, practical way to maintain assignment rigor across your courses without sacrificing your weekends to grading fatigue.
• You'd rather have students using AI in the open, with their judgment on record, than hiding it.
• You sit on a curriculum committee, coordinate multi-section courses, or want practical strategies to share with department leadership asking what to do about AI.
  

Your students are writing with AI right now, whether or not your syllabus has an opinion about it. You can keep grading the artifact and guessing, or you can start seeing the work behind it. Bring one course to mind before you join, because you'll leave with a plan for it.

Live Attendee Bonus: Attendees will receive exclusive access to our practical Faculty Field Guide to Learning Intelligence to help your department build a transparent, process-focused assessment strategy.

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