TimelyGrader Introduction
TimelyGrader is an AI-powered grading and feedback assistant that helps educators streamline their grading process while maintaining human oversight and providing personalized feedback to students.
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TimelyGrader is an innovative educational technology platform that integrates artificial intelligence to transform the grading process for instructors at colleges and universities. Launched in 2024, it serves as a comprehensive grading solution that can handle various types of assignments including essays, papers, presentations, charts, and more. The platform maintains a human-in-the-loop approach, where instructors retain final control over grading decisions while leveraging AI to enhance efficiency and feedback quality.
How does TimelyGrader work?
TimelyGrader operates by allowing instructors to upload assignment details including descriptions, rubrics, and specifications. The system can process large batches of up to 600 student submissions simultaneously. Using advanced AI models, it analyzes submissions and provides tailored grading suggestions and detailed feedback. The platform integrates seamlessly with major learning management systems like Canvas and D2L, enabling features such as single sign-on, assignment synchronization, and automatic grade passback. Instructors can review and modify AI-generated feedback before finalizing grades, and students can access instant feedback through an optional feature that allows them to request assessment at any time.
Benefits of TimelyGrader
The platform offers significant advantages for both educators and students. For instructors, TimelyGrader reduces grading time by up to 60%, allowing them to focus more on teaching and student support. It catches details that might be missed in manual grading and organizes feedback comprehensively. Students benefit from more frequent and detailed feedback, enabling them to improve their work iteratively. The system's scalability means institutions can maintain high-quality assessment standards even with large class sizes, while the AI-assisted approach ensures consistency in grading while preserving human judgment in the evaluation process.
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