Effective feedback and grading at your speed

Yes. Instructors can review, edit, and refine all AI-generated feedback before sharing it with students. The system is designed to support, not replace, instructor judgment.

Yes. The AI Feedback & Grader assistant embeds directly into the LMS environments Brightspace, Canvas and Moodle. The assistant works within familiar grading workflows with a click of a button, so instructors don't need to learn a new tool.

LearnWise AI Feedback helps instructors reduce grading time in two ways: They can use the tool to create the initial feedback draft to edit themselves later or they can have the AI to finalize their own feedback comment. Feedback is prepared in the background while instructors review submissions. When they click generate, a draft is already available, reducing wait time to seconds.

Yes, LearnWise provides detailed insights on how faculty are leveraging the AI Feedback & Grader. These insights cover faculty usage, submissions graded, human edits, session history, and more across courses and instructors, enabling institutions to enhance curriculum and assessment practices.

LearnWise uses multiple premium language models with a consistency layer (“AI Brain”) to ensure uniform, rubric-aligned responses. This reduces bias and supports consistent communication across courses. Each rubric criterion is evaluated independently using a structured grading engine, ensuring consistent and fair grading across submissions.

LearnWise AI has a walled-garden approach to data. With this approach the information systems are scope-limited, meaning they only access institution-curated data - course materials, syllabus, assignments, and forums - ensuring accuracy, mitigating hallucination, and reinforcing trust. The tools will only use approved institutional content and information, ensuring academic integrity for students and faculty.