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Automatic Grading of Object-Dragging Quizzes ID: 2013-041

A revolutionary system that automates the grading of interactive quizzes, saving time for instructors and enhancing learning for students through immediate feedback.

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Technology Overview

This invention from Brigham Young University introduces a novel software architecture designed to automate the grading process of object-dragging quizzes. Unlike traditional multiple-choice or text-based systems, this technology allows students to answer quizzes by dragging and dropping graphical objects on a screen. The system not only grades these responses automatically but also provides immediate, corrective feedback to students, leveraging machine learning to improve grading accuracy and feedback relevance over time.


Key Advantages

  • Automates the grading process, significantly reducing the workload for instructors, especially in large classes
  • Enhances student learning by providing immediate, corrective feedback
  • Offers a more natural and interactive testing experience through object manipulation
  • Leverages machine learning to continuously improve grading accuracy and feedback quality
  • Includes a challenge system for students to contest grades, fostering deeper engagement and understanding

Problems Addressed

  • Time-consuming grading processes for instructors
  • Lack of immediate feedback for students in traditional testing formats
  • Limited interaction and engagement in conventional online quizzes
  • Difficulty in accurately grading complex, interactive responses with traditional systems

Market Applications

  • K-12 education for a wide range of subjects requiring interactive testing
  • Higher education settings, particularly in courses with large class sizes
  • Corporate training programs seeking to enhance learning through interactive assessment
  • Online learning platforms looking to integrate more engaging and effective testing mechanisms

Additional Information

Technology ID: 2013-041
Sell Sheet: Download the Sell Sheet here
Market Analysis: Contact us for a more in-depth market report
Date Published: 13 May, 2025

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