PowerGrader
Spend less time grading. Give every student better feedback.
PowerGrader uses AI to prepare detailed feedback and draft scores for faculty to review, refine, and approve. It helps instructors give every student deeper, more substantive guidance without creating every score and comment from scratch.
Less Time Grading · Richer Feedback at Scale · More Time to Teach
Assignments and submissions flow into PowerGrader. Faculty-approved grades and feedback sync back to the LMS.
Backed by Apporto's Proven Platform
More submissions should not mean less meaningful feedback.
Faculty want feedback to do more than justify a score. It should help students understand what worked, where they struggled, and how to improve. But as enrollment and submission volume grow, delivering that level of guidance to every student becomes difficult to sustain.
More Submissions · Less Time Per Student · Feedback Quality at Risk
Larger enrollments and faster turnaround expectations leave less time for substantive feedback.
Applying the same criteria and repeating similar comments takes time away from teaching.
When time and staffing are constrained, feedback depth and usefulness can differ across sections and teaching teams.
PowerGrader prepares the first pass.Faculty shape the final result.
Through native bidirectional LMS integration, PowerGrader brings in the instructor's assignment, rubric, and student submissions. It prepares criterion-level draft scores and feedback for faculty to review, refine, and approve, then sends approved grades and feedback back to the LMS gradebook.
Bring in the assignment and rubric
PowerGrader receives the assignment, rubric, and student submissions from the LMS.
Generate draft scores and feedback
AI prepares draft scores and feedback for each rubric criterion.
Review, refine, or override
Faculty edit scores, revise comments, or request a targeted regrade.
Return approved grades and feedback
After faculty review, approved grades and feedback are sent back to the LMS gradebook.
Bring in the assignment and rubric
FROM LMS →PowerGrader receives the assignment, rubric, and student submissions from the LMS.
Generate draft scores and feedback
AI prepares draft scores and feedback for each rubric criterion.
Review, refine, or override
Faculty edit scores, revise comments, or request a targeted regrade.
Return approved grades and feedback
BACK TO LMS →After faculty review, approved grades and feedback are sent back to the LMS gradebook.
Every score and comment is reviewed and approved before reaching students. As instructors refine drafts, PowerGrader becomes more aligned with their feedback preferences, supporting consistency without flattening their academic voice.
Move through the grading queue without starting from scratch.
PowerGrader prepares rubric-aligned draft scores and feedback before faculty review begins. Instructors can organize the queue, focus on submissions that need attention, refine scores and comments by criterion, finalize results in PowerGrader, and send approved grades back to the LMS.
Give students more than a score.
Show them how to improve.
PowerGrader helps faculty provide specific, substantive feedback tied to each rubric criterion. Students can see what is working, where their reasoning or execution can improve, and what they can apply in the next assignment.
"Good effort. Sources could be stronger."
"You cite two peer-reviewed sources, which gives the argument a solid foundation. In paragraph two, the claim about cost barriers relies on secondary commentary. Add a primary source and explain how it supports the claim to strengthen the evidence behind your argument."
Spend less time processing submissions.
Spend more time teaching students.
Time saved on grading becomes time faculty can reinvest in students. PowerGrader creates more capacity for the work that depends on their experience, attention, and human connection.
Mentor Students · Intervene Earlier · Improve Courses · Support Deeper Learning
Built for the work faculty actually grade.
Across disciplines, PowerGrader supports the formats faculty already assign, from essays and code to handwritten work, spreadsheets, and multi-file submissions, all within one consistent grading workflow.
When a submission raises questions,
bring the learning process into view.
PowerGrader connects faculty directly to TrustEd's behavioral record when a submission warrants closer review. Educators can consider process evidence alongside the work itself, supporting better-informed conversations and decisions without treating an automated signal as a verdict.
Submission, rubric-aligned scores, and faculty feedback
Behavioral record and process evidence
Submission, rubric-aligned scores, and faculty feedback
Behavioral record and process evidence
PowerGrader's first pass closely matched faculty judgment.
Draft grades accepted by faculty
Criterion-level evaluations and feedback retained
Responsible AI. By design.
PowerGrader supports institutionally governed use, with faculty review built in and student data never used to train our models.
Apporto provides the security, privacy, accessibility, and governance documentation institutions need for evaluation and deployment.
Independently audited controls
Safeguards for student privacy and education records
Completed assessment for higher education security review
Designed to align with WCAG 2.2 AA, with VPAT 2.5 available
Guide learning. Evaluate work.
Understand the process. Secure assessment.
Apporto's Academic AI Suite connects guided learning, faculty-controlled grading, process visibility, and secure assessment in one governed platform.
Guides students with assignment-aware AI support under guardrails defined by faculty.
Helps faculty deliver consistent scores and feedback grounded in the rubric.
Brings behavioral context and explainable process evidence into view.
Creates a controlled browser-based environment for secure, flexible assessment.
See what PowerGrader can give backto your faculty.
Bring an assignment and rubric. See how PowerGrader prepares detailed draft scores and feedback for faculty to review, refine, and approve in PowerGrader before sending grades back to the LMS.
Request a PowerGrader Demo