Plan ongoing assessment for a blended or online class
A practical mix of checks for understanding, tools, and tracking that shows how each student is progressing toward a learning goal.
The prompt
Help me plan how to assess and track student learning in my blended or online class.
Subject, level, and class size: [DETAILS]
Learning objective(s) to track: [e.g. "solve two-step equations", "write an argument with evidence"]
Format: [how time is split between in-person, live online, and self-paced]
Tools available: [e.g. LMS, quiz tools, shared docs, discussion boards]
Constraints: [grading time, device access, students with accommodations]
Give me:
1. Assessment map - for each objective: what mastery looks like, 2-3 formative checks (exit tickets, short quizzes, polls, recorded explanations, peer review), and one summative task.
2. How to use technology well - which checks to auto-grade, which need my judgment, and how to make online checks harder to game (application questions, explain-your-reasoning, varied versions).
3. Tracking system - a simple gradebook or mastery tracker layout (columns, scale such as not yet / approaching / met), and how often to update it.
4. Acting on the data - what to do when a student or group is behind: reteach, small groups, extra practice; and how to flag students who aren't engaging online.
5. Feedback loop - how students see their own progress and what they do next.
6. Fairness and access - options for students with limited devices or connectivity and with accommodations.
Keep the workload realistic: estimate my weekly grading time and suggest cuts if it's too high.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Learning & Teaching prompts
What to fill in
- DETAILS
- e.g. LMS, quiz tools, shared docs, discussion boards
- grading time, device access, students with accommodations
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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