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Case Study • Education Technology

GraddleAI:
Automated AI Marking Solution

Transforming educational assessment with AI-powered grading technology that enhances accuracy, reduces workload, and provides detailed feedback.

Natural Language Processing
Machine Learning
Educational AI
GraddleAI Interface

Overview

GraddleAI is a revolutionary assessment system that allows educational institutions to automate their marking process with advanced artificial intelligence. The platform is designed to understand educational content, marking criteria, and assessment objectives to provide consistently accurate grading that aligns with institutional standards.

Our system combines natural language processing, machine learning, and educational domain expertise to create an AI solution that not only grades assessments but also provides detailed feedback to students, helping educators focus on teaching rather than administrative tasks.

GraddleAI has been deployed across multiple educational institutions, demonstrating a 70% reduction in grading time while maintaining accuracy levels comparable to experienced educators.

Key Highlights

  • 70% Reduction in Grading Time

    Educators save significant time on assessment tasks

  • 95% Consistency Rating

    Eliminates grading inconsistencies between different markers

  • Detailed Student Feedback

    Provides personalized improvement suggestions

  • Seamless LMS Integration

    Works with leading Learning Management Systems

  • Human-in-the-Loop Design

    Allows for educator review and adjustments

How GraddleAI Works

Step 1
1

Upload & Configure

Upload your syllabus and assessment criteria. Set up marking rubrics with expected outcomes.

Step 2
2

AI Assessment

Our AI analyzes submissions, provides detailed feedback, and highlights key points.

Step 3
3

Review & Insights

Get comprehensive reports with plagiarism checks and content authenticity verification.

The GraddleAI system continuously learns from educator feedback, improving its accuracy and aligning with institutional grading patterns over time.

Technology Stack

Core Technologies

Large Language Models
Large Language Models
Natural Language Processing
Natural Language Processing
Machine Learning
Machine Learning
Semantic Analysis
Semantic Analysis

Development Stack

  • Python for machine learning and NLP pipelines
  • PyTorch for neural network models
  • React for frontend dashboard interfaces
  • FastAPI for backend services
  • Docker & Kubernetes for deployment
  • AWS for cloud infrastructure

AI Architecture

Input Layer

Student Submissions

Configuration

Rubrics & Criteria

Content Analysis Engine

NLP & Semantic Processing

Rubric Alignment System

Criteria Mapping

Learning System

Continuous Improvement

Assessment Results

Grades & Scores

Feedback Generator

Detailed Student Feedback

Key Components:

  • Content Analysis Engine: Processes student submissions and extracts key concepts and arguments.
  • Rubric Alignment System: Maps content to institutional grading criteria and rubrics.
  • Feedback Generator: Creates detailed, constructive feedback for students based on assessment results.
  • Learning System: Continuously improves based on educator adjustments and validation.

Results & Impact

70%
Reduction in grading time

Educators report saving significant time that can be reinvested in teaching

92%
Accuracy rate

When compared to expert human graders across multiple subject areas

40%
Increase in detailed feedback

Students receive more comprehensive guidance on their work

Ready to Transform Your Assessment Process?

Schedule a demonstration today to see how GraddleAI can help your institution save time, improve consistency, and provide better feedback to students.