AI Specialty Tools

CoGrader

Grade coding assignments efficiently with CoGrader. Our platform helps educators automate grading and provide feedback to students.

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Introduction to CoGrader

CoGrader is an AI-powered essay grading and feedback platform designed to assist educators in providing timely, detailed, and personalized feedback on student writing. By leveraging advanced AI algorithms, CoGrader aims to streamline the grading process, reduce teacher workload, and enhance student learning outcomes.

Key Features of CoGrader

  • AI-Powered Grading: Utilizes advanced AI algorithms to assess student essays, providing consistent and objective evaluations.
  • Personalized Feedback: Generates detailed feedback highlighting strengths and areas for improvement, tailored to each student’s work.
  • Standards-Based Rubrics: Incorporates pre-loaded rubrics aligned with state standards, including Common Core State Standards (CCSS), Texas Essential Knowledge and Skills (TEKS), and Florida B.E.S.T. Standards. Educators can also upload custom rubrics to match specific assessment criteria.
  • AI Detection: Offers AI detection features to identify potential AI-generated content, aiding in maintaining academic integrity.
  • Multilingual Support: Capable of grading assignments in multiple languages, accommodating diverse student populations.
  • Learning Management System (LMS) Integration: Seamlessly integrates with platforms like Google Classroom, Canvas, and Schoology, facilitating smooth workflow for educators.
  • Data Privacy and Security: Adheres to strict data protection standards, including FERPA compliance and SOC2 Type 1 Certification, ensuring student data is handled securely.

How to Use CoGrader

  1. Sign Up: Create an account on the CoGrader platform.
  2. Import Assignments: Import student assignments from your LMS or upload them manually.
  3. Define Grading Criteria: Select a pre-loaded rubric or upload your own to align with your assessment standards.
  4. Review Feedback: CoGrader generates feedback for each student, which you can review and adjust as necessary.
  5. Export Grades: Once satisfied with the feedback, export the grades and comments back to your LMS or share them with students directly.

Pricing Information

CoGrader offers various pricing plans to accommodate different needs:

  • Free Plan: Includes up to 100 submissions per month, suitable for individual educators or small classes.
  • Standard Plan: Priced at $15 per month, offering additional features and higher submission limits.
  • School and District Plans: Customized pricing based on the number of users and specific requirements, including advanced analytics and multi-school support.

Frequently Asked Questions (FAQ)

  • Can CoGrader grade assignments in multiple languages? Yes, CoGrader can assess and provide feedback on assignments in any language, while the platform interface remains in English.
  • How does CoGrader protect student privacy? CoGrader maintains strict data protection standards, including FERPA compliance and adherence to the NIST 1.1 framework. The system uses OAuth2 authentication through Google’s protected systems and collects minimal data, using only anonymized student identifiers to match assignments.
  • Can CoGrader detect cheating? CoGrader’s AI Detection feature helps identify potential AI-generated content. While no tool can guarantee 100% accuracy in AI detection, CoGrader helps teachers by flagging possible academic dishonesty to inform follow-up conversations with students and uphold the school’s policy.
  • Who is responsible for final grades with CoGrader? The teacher. CoGrader is designed to assist educators by streamlining the grading process with AI-driven suggestions. However, the final feedback and grades remain the responsibility of the educator.
  • What information is shared with the AI models? When processing assignments, CoGrader sends only anonymized data to its AI language models. This includes the text of student submissions and necessary context from assignment prompts, ensuring effective assessment while maintaining privacy.

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