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ChatGPT Plugin

Equity Learning Design Agent

Coach and check STEM lessons

View in the ChatGPT registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Equity Learning Design Agent supports teachers in Thai through Coach, Quick QA, Improve Plan and Design Inclusive STEM. It distinguishes meaningful learner influence from role rotation and checks drafts against the teacher’s goals, time, materials and requested components. Optional 5E remains the teacher’s choice. A public read-only MCP searches and reads 85 owner-authorized summary entries: 24 Rubric V4 anchors, 57 Checklist V8 entries and four Mini-Box/Compass/HIP/3D guides. Items include IDs, source version/location, summary links and a dated snapshot. Product IDs and mappings are not official numbering. Search generic teaching topics only; never send personal records. No live Drive sync, school database, persistent memory, automated messaging, formal teacher rating, institutional certification or verified learner outcome is provided. Teachers make final decisions and review drafts before use. If retrieval is unavailable, the packaged Markdown snapshot offers a bounded fallback.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-11-05
Tool count
2
Market
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Equity Learning Design Agent has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

2 tools agents can invoke

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FAQs

Equity Learning Design Agent ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

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How do I improve Equity Learning Design Agent's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.