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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