Collinear’s AI-powered grading technology is designed specifically for mathematics, providing accurate assessment and meaningful feedback. This guide explains how our AI works and how to get the most out of its capabilities.

How Our AI Technology Works

Collinear’s specialized mathematical AI engine processes assignments through several sophisticated steps:

Symbol Recognition

Our AI can accurately recognize and interpret:

• Handwritten mathematical notation
• Complex equations and formulas
• Mathematical diagrams and graphs
• Various notation styles from different students

Multi-Step Solution Analysis

The AI doesn’t just check final answers—it examines the entire problem-solving process:

• Identifies the approach used by the student
• Follows each calculation step
• Recognizes different valid solution methods
• Pinpoints exactly where errors occur in the solution process

Error Classification

Our system categorizes different types of errors:

• Calculation Errors: Simple arithmetic mistakes
• Conceptual Misunderstandings: Fundamental misapplication of mathematical concepts
• Logical Mistakes: Errors in the reasoning process
• Notation Errors: Incorrect use of mathematical notation

Automated Rubric Generation

Collinear can automatically generate comprehensive grading rubrics based on your assignment structure:

How to Use Automated Rubrics

1. Upload Your Assignment: When creating a new assignment, upload your document.
2. Review Generated Rubric: The AI will analyze the assignment and suggest a rubric.
3. Customize if Needed: Adjust point values or criteria to match your preferences.
4. Save for Future Use: Store customized rubrics as templates for similar assignments.

Rubric Components

• Point Distribution: Appropriate allocation of points across problems
• Partial Credit Guidelines: Criteria for awarding partial credit
• Common Error Anticipation: Identification of likely student mistakes
• Solution Requirements: Clear definition of what constitutes a complete solution

Detailed Feedback Generation

Our AI provides specific, actionable feedback for each student:

Types of Feedback

• Step-by-Step Analysis: Comments on each part of the solution process
• Error Identification: Precise location and explanation of mistakes
• Conceptual Guidance: Explanations of relevant mathematical concepts
• Improvement Suggestions: Specific advice for avoiding similar errors

Customizing Feedback Depth

You can adjust the level of detail in feedback:

1. Navigate to Assignment Settings: From your assignment page, click “Settings”
2. Adjust Feedback Level: Choose from:
   • Basic (scores and brief comments)
   • Standard (detailed error explanations)
   • Comprehensive (in-depth conceptual guidance)

Reviewing and Adjusting AI Grades

While our AI is highly accurate, you maintain full control over the grading process:

Grade Review Process

1. Access Graded Assignments: View all AI-graded work from your dashboard
2. Review Individual Submissions: Examine the AI’s assessment of each student’s work
3. Make Adjustments: Override grades or feedback where necessary
4. Batch Approve: Quickly approve accurate AI grades to save time

When to Adjust AI Grades

Consider reviewing more carefully when:

• Students use unconventional solution methods
• The assignment includes open-ended problems
• You notice patterns in AI grading that need correction
• Students request regrades with valid justification

Regrade Requests

Collinear includes a built-in system for handling student regrade requests:

Managing Regrade Requests

1. Receive Notifications: Get alerted when students submit regrade requests
2. Review Student Justification: See why the student believes the grade should be reconsidered
3. Compare with Original: View the original submission alongside the AI assessment
4. Respond with Decision: Approve, deny, or partially approve the request with explanation

For more information on any of these features, please contact our support team or explore our other help center articles.