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TimelyGrader calculates accuracy by comparing AI assisted grades to instructor-approved final scores at the criterion level. We surface override patterns, accuracy percentages, and trends across courses and terms so instructors and admins can evaluate alignment, reliability, and grading consistency over time. TimelyGrader does not ‘learn’ automatically but rather through iteration, accuracy is improved as the ‘human-in-the-loop’ learns how to optimize the AI assistance.

Yes. TimelyGrader honors the roles and sections established in the LMS course. TAs only see the students, submissions, and analytics that belong to the sections assigned to them in the LMS. This ensures appropriate access control and maintains alignment with institutional privacy requirements and standards.

Admins can export submission counts, grading activity, instructor override rates, AI accuracy trends, average grading times, course-level adoption metrics, and term-level summaries. Data can be downloaded as CSV files for reporting, audits, or institutional dashboards.

Yes. Students can upload up to three drafts for instant, rubric-aligned AI feedback before the final submission. This helps them identify strengths, pinpoint weaknesses, and revise their work before it is formally graded, without requiring additional instructor time. Instructors can view these drafts as well if they are interested in seeing the development process.

TimelyGrader supports PDF, DOCX, PPTX, and spreadsheet formats, along with images and image-based PDFs processed through OCR. Feedback can anchor directly to specific pages or visual elements, and inline comments remain linked to the corresponding areas of the submission. Support for MP4 video and movie submissions is also available.

Yes. TimelyGrader follows SOC 2 Type II controls, encrypts all data in transit and at rest, and stores information within secure cloud infrastructure. We do not use student data to train external AI models nor do we aggregate client data.  Our practices align with FERPA requirements, and institutions can request our security documentation, HECVAT, or SOC 2 Type II report.

Yes. TimelyGrader never posts a grade without instructor approval. AI produces suggestions for each criterion, but instructors can review, edit, override, or replace any part of the grade or feedback before sending it back to the LMS. The instructor remains the final evaluator at every step.

TimelyGrader launches directly from Canvas and D2L using LMS authentication. Once connected, we import assignment details, rubrics, submissions, and section enrollments. Instructors review AI assisted grading, approve or edit them, and then instruct TimelyGrader to push final grades, comments, and inline feedback back into SpeedGrader or Brightspace. No manual uploads or exports are required.