Assessment Designer Skill for ChatGPT: Align Questions With Learning Objectives
Draft assessment items and score criteria from an observable learning objective. Make the evidence required for full or partial credit explicit before the teacher reviews it.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download skills/assessment-designer/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for assessment-designer together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that assessment-designer appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
The fictional objective is to explain line-chart changes with numbers. A book club has 12, 18, and 15 attendees over three weeks. Write one item and supply full-credit, partial-credit, and common-error criteria.What to check
The item asks for the rise and fall with adjacent-week evidence. Full credit requires both the trend and supporting numbers. Partial credit recognizes a correct direction without complete evidence.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can a multiple-choice item assess the ability to explain?
It can test recognition. A short response scored on trend and numerical evidence makes the student's explanation observable.