GradeLab | Automated Handwritten Exam Grading | AI Assessment" is an AI-powered grading tool designed for teachers to digitize and automatically grade handwritten exams with human-like accuracy. It converts scanned answer sheets into digital data, applies AI-driven evaluation against rubrics or answer keys, and delivers detailed feedback and progress analytics to streamline grading and enhance teaching focus.
How It Works
- Upload scanned answer sheets. Import answer sheets into GradeLab’s dashboard. The platform uses OCR to extract text from scanned pages.
- AI-driven evaluation. Large Language Models (LLMs) process the extracted text against a predefined answer key or web knowledge to generate grades and feedback.
- Detailed feedback reports. The system provides comprehensive student feedback, identifying strengths and areas for improvement.
- Progress tracking & analytics. Real-time tracking of student performance across exams with data-driven insights to inform instruction.
Key Capabilities
- Auto grading for essays, tests, and handwritten answers with AI efficiency.
- Faster grading than manual (reported ~95% speed improvements; accuracy up to ~85-97% depending on task).
- Uniformity across papers to reduce grading subjectivity.
- Flexible rubrics and robust re-evaluation features to apply custom grading rules.
- Integrates with multiple cloud storage and LMS platforms for easy submission/import.
- Real-time progress tracking and data-driven insights.
How It Helps Educators and Learners
- Saves hours of grading time and increases accuracy.
- Enables teachers to focus more on teaching rather than manual marking.
- Provides immediate, detailed feedback to students for rapid improvement.
- Supports standardized test preparation and daily assessments.
Safety, Privacy, and Compliance
- Designed for educational use with emphasis on privacy for student data.
- Uses AI to assist grading; final grades should be reviewed by educators.
Core Features
- AI-powered auto grading for handwritten papers, essays, and tests
- OCR to extract text from scanned answer sheets
- LLM-based evaluation against answer keys or Web Knowledge
- Detailed, human-like feedback reports
- Real-time progress tracking and data analytics
- Flexible rubrics and re-evaluation rules for custom grading criteria
- Easy import from Google Drive, One Drive, Box, Dropbox, or LMS like Google Classroom
- Speed and consistency improvements over manual grading
- Accessible for teachers to scale grading across classes