CoGrader Features
Assessment delivery (3)
Question variety
Enables instructors to develop assessments with a variety of question types, such as multiple-choice and short answer.
Real-time assessment
Displays real-time student responses to questions an instructor asks during a live class or event.
Pre-made content
Provides users with a pre-built library of usable content or questions.
Grading and reporting (4)
Automated grading
Automates grading of student assessments.
Gamification
Contains gamification tools, including but not limited to badges, leaderboards, and point scoring.
Analytics dashboard
Contains analytics dashboards to visualize student assessment results.
Reporting
Provides detailed reports centered around student performance.
Administration (2)
White-labeling
Allows users to implement their own branding throughout the platform.
Mobile compatibility
Is accessible from a mobile device and by users on the go.
Agentic AI (3)
Autonomous Task Execution
Performs complex grading and feedback tasks independently, without constant human input, while maintaining accuracy and contextual understanding.
Goal-Oriented Feedback Generation
Produces personalized, progress-driven feedback that helps learners understand what to improve next, aligning feedback with long-term skill development and learning outcomes.
Adaptive Decision Making
Analyzes student intent, context, and learning objectives to make autonomous, informed grading and feedback decisions
Reporting & Analytics (3)
Custom Reports
Enables users to create tailored reports on student performance and grading analytics for actionable insights.
Data Export
Allows users to export grading and assessment data in multiple formats for easy sharing and integration.
Performance Dashboards
Provides visual insights into student performance and grading trends through interactive charts and summaries.
Accuracy, Security & Integrity (3)
Data Privacy Compliance
Identifies potential grading biases to ensure fair, consistent, and equitable assessment outcomes.
Bias Detection
Detects and minimizes grading bias using built-in fairness algorithms to ensure objective assessment.
Grading Accuracy Metrics
Displays AI grading accuracy levels and confidence scores to enhance transparency and trust.

