TimelyGrader is an AI-assisted tool designed to help instructors speed up the grading process, suitable for various assignment formats such as essays, videos, and presentations. Its core concept is "Human-in-the-Loop," meaning AI provides preliminary grading suggestions and feedback, but the final decision always remains with the instructor or teaching assistant, ensuring the validity and reliability of grading.
Purpose TimelyGrader primarily serves instructors and teaching assistants in educational settings, helping them grade student assignments more quickly and personalized, reduce repetitive labor, while maintaining consistency and accuracy in grading.
Main Capabilities
- AI-assisted grading: Provides first-round grading and feedback for term papers, handwritten papers, group presentations, etc.
- Supports multiple content types: Can handle complex assignments such as images, charts, and tables.
- Personalized feedback: Say goodbye to templated copy-paste, generating tailored feedback for each student.
- Provides grading rationale: Not only gives suggested scores, but also explains the basis for grading, making it easy for instructors to verify.
- Human verification required: Instructors or teaching assistants must review and confirm AI suggestions.
- Cognitive apprenticeship: Combines AI-guided feedback with instructor expertise to provide timely tutoring, helping students reflect on their reasoning and improve their work, achieving "assessment as teaching."
- Consistency assurance: Ensures uniform grading standards during long grading sessions or with multiple graders.
- Institution-ready: Integrates with LMS, supports assignment and submission synchronization, and grade and feedback return.
- Secure and accessible: Follows WCAG 2.2 AA standards, provides VPAT reports; audited for SOC 2 Type II (Sentry Assurance/Vanta), and can provide a completed HECVAT form.
How to Use Instructors import assignment information through the integrated LMS. After students submit, AI generates first-round grading suggestions and feedback. Instructors or teaching assistants verify and finalize, then grades and feedback are returned to the LMS. The platform supports keyboard navigation to ensure accessibility.
Applicable Scenarios
- Grading essays, reports, presentations, and other assignments in higher education.
- Courses requiring personalized feedback at scale.
- Teaching scenarios where summative assessment is transformed into formative assessment.
- Situations where multiple graders need to maintain grading consistency.
Limitations
- AI grading is only a suggestion and must undergo human verification; it cannot be fully automated.
- Specific supported LMS types, pricing, trial information, etc., are not yet provided.
- Platform effectiveness varies by course and assignment type, and needs to be evaluated in light of actual teaching needs.