Assign2 generates AI grading suggestions for written responses and coding assignments. Instructors review and confirm every grade — so AI accelerates the process without removing academic control or consistency.
Assign2's AI-assisted grading is designed for the realities of university assessment: instructors retain full control, every suggestion is visible and editable, and the final grade is always confirmed by a human before it reaches the student.
For written responses, the AI analyses the submission against the rubric criteria and generates a suggested score and comment. The instructor sees the suggestion alongside the original submission and decides whether to accept, adjust, or override it.
AI-assisted grading reduces the time spent on repetitive grading decisions and helps maintain consistency across large cohorts and multiple graders — without introducing automated grading that bypasses academic review.
Every AI-generated suggestion is reviewed and confirmed by the instructor before a grade is recorded. Assign2 is a grading assistant, not an autonomous grading system.
Set up your assessment as usual. Define the question criteria, point values, and rubric. The AI uses this rubric as the basis for its suggestions.
Students submit written responses, handwritten scans, or coding assignments through the standard Assign2 submission workflow.
Assign2 runs AI analysis against each submission and generates a suggested score and comment for each rubric criterion. Suggestions are presented alongside the original submission.
The instructor reviews each suggestion, makes adjustments where needed, and confirms the grade. Only confirmed grades are recorded and returned to students.
Reviewing and accepting an AI suggestion takes seconds. For courses with hundreds of submissions, this dramatically reduces total grading time.
AI suggestions are generated against the same rubric criteria for every submission, helping reduce grader drift across large cohorts and multiple TAs.
AI-assisted grading is available for open-ended written responses and handwritten work, including math, diagrams, and long-form essay answers.
Every AI suggestion can be modified or rejected. The system never records a grade without explicit instructor confirmation.
Students receive the same annotated, rubric-based feedback they would from human grading. The presence of AI assistance in the process is at the institution's discretion to communicate.
AI assistance is an optional layer within the standard Assign2 grading interface. Instructors who prefer to grade manually without suggestions can do so on the same platform.
No. Assign2's AI-assisted grading is designed as an instructor support tool. Every suggestion requires explicit instructor confirmation before a grade is recorded. There is no fully automated grading mode that bypasses human review.
AI-assisted grading currently supports open-ended written responses and long-form handwritten answers, including math and diagram-heavy work. Multiple-choice questions are auto-graded by the standard scoring engine, not the AI suggestion system.
The AI analyses each submission against the rubric criteria you define for the question. It does not have access to a model answer unless you provide one as part of the rubric definition. The quality of suggestions depends in part on how precisely the rubric criteria are written.
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Book a live walkthrough of the AI grading workflow and see how it fits into your department's assessment process.