Edexia is an AI-driven assessment platform designed to assist educators in grading and providing feedback. It adapts to individual teaching styles by learning from corrections and inputs, ensuring that grading remains consistent with each teacher's standards. Supporting various subjects and formats, Edexia offers features like rubric-based evaluations, real-time feedback generation, and integration with existing educational tools. Its emphasis on transparency and teacher control ensures that educators remain at the forefront of the assessment process.
Automating the grading process for various subjects and assessment types.
Providing consistent and personalized feedback to students.
Reducing the time educators spend on marking assignments.
Integrating seamlessly with existing educational workflows and tools.
Edexia demonstrates high autonomy in automated grading workflows after initial setup, handling bulk uploads, rubric application, and feedback generation without continuous human intervention. However, educators must still define assessment criteria, select rubrics, and review outputs, preventing full autonomy. The system's ability to analyze submissions, apply consistent grading standards, and provide structured improvement suggestions aligns with Level 4 (conditional autonomy) on the AI autonomy scale.
Closed Source
Free
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