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Understanding assignment types (standard, Immediate, grid)

EnlightenAI assignment types explained: Standard for graded submissions, Immediate Feedback for real-time revision, and grid for bulk grading.

Written by Gautam Thapar

EnlightenAI offers three main assignment types. Standard assignments have students submit work once, then you grade it with AI. Immediate Feedback (Instant AI Feedback) gives students real-time AI feedback during class so they can revise. Grid assignments let you bulk-grade a spreadsheet of responses at once.

What is a Standard assignment?

A Standard assignment is the classic flow: students submit their work one time, then you run AI grading against your rubric and review the feedback. You stay in control, editing AI suggestions before finishing grading. Use this for essays, reports, and most graded work where you want to review feedback before students see it.

What is an Immediate Feedback assignment?

Immediate Feedback (also called Instant AI Feedback) gives students AI feedback in real time, right after they submit. They can then revise and resubmit. You can allow up to 8 attempts per student, so learners improve their work across multiple rounds during class. This is ideal for in-class practice, drafts, and skill-building where fast turnaround matters most.

What is a Grid assignment?

A Grid assignment is a bulk-grading workflow built from a spreadsheet (CSV) upload. Each row becomes a student response, and EnlightenAI grades them together. Use this when you already have a batch of responses collected elsewhere and want AI feedback on all of them at once, without students logging in to submit.

Which type should I choose?

  • Standard — graded work you review before students see feedback.

  • Immediate Feedback — in-class practice with real-time feedback and up to 8 revision attempts.

  • Grid — bulk grading from a spreadsheet of existing responses.

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