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AI agent for elearning developers

Course Sequencing and Cognitive Load Agent

A course sequence where weekly load is balanced and prerequisites come first.

PlanningDecisionsEducation
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Course Sequencing and Cognitive Load Agent: what goes in, what the agent does and what you get

What it does

Week three of your course has eight videos and two projects, while week four has one short reading. Nobody notices until learner feedback arrives. This agent estimates reading, video and practice time for each unit and flags weeks over your target load. It also checks concept jumps, such as a unit that uses terms taught later. It proposes a reorder or split, and after each move it recalculates the load and checks dependencies again. Edge case: moving the project to week four fixes the load but breaks a prerequisite, so the agent tries splitting the project instead. The developer approves the new sequence.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Developer shares the course outline 2 USES A TOOL Estimate time per unit from reading, video andpractice 3 DOES Total each week and compare with the target load 4 USES A TOOL Map concept dependencies between units 5 CHECKS THE RESULT Is every week within 15% of the target load? If not: propose moves or splits for the heavy weeks.Back to step 3. 6 CHECKS THE RESULT Does every unit come after its prerequisites? If not: undo the move and try another way to balance.Back to step 4. 7 DOES Recalculate load and dependencies after the change 8 DOES Draft the proposed sequence with reasons 9 YOU APPROVE Developer approves the new sequence 10 RESULT Final sequence and load table
Read the steps as a list
  1. Developer shares the course outline
  2. Estimate time per unit from reading, video and practice
  3. Total each week and compare with the target load
  4. Map concept dependencies between units
  5. Is every week within 15% of the target load?If not: propose moves or splits for the heavy weeks. Back to step 3.
  6. Does every unit come after its prerequisites?If not: undo the move and try another way to balance. Back to step 4.
  7. Recalculate load and dependencies after the change
  8. Draft the proposed sequence with reasons
  9. Developer approves the new sequenceThe agent waits here for your OK.
  10. Final sequence and load table

How it decides

It moves or splits units to bring any week within 15% of target, and rejects any move that places a concept before its prerequisite.

  • Flag a week over 115% of target hours.
  • Never place a unit before its prerequisite.
  • Prefer splitting a large unit over moving it far.
  • Keep graded work at least 2 days before the next unit starts.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Weekly target hours
  • Allowed load variance
  • Reading speed assumptions
  • Dependency notes
  • Output format

What keeps you in control

It always asks you first

  • Final sequence before it is applied to the course

Hard limits

  • Do not edit course files directly.
  • Do not drop content without approval.

It stops when

  • Done: all weeks within limits and dependencies satisfied
  • Stop: no arrangement fits the target, so the agent recommends cutting content and asks the developer

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensNia's 8-week course targets 5 hours a week. The agent finds week 3 at 8.5 hours and week 4 at 2. Moving the project to week 4 fails the dependency check since it needs week 5 content. The agent splits the project into two parts instead. Loads become 6 and 4.5 hours, and Nia approves.

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