Virtual Meeting Analysis System for Educational Settings ID: 2021-055

A comprehensive system designed to enhance online education by analyzing video and audio from virtual classes.

Technology Overview

This technology provides an innovative solution for analyzing virtual meetings, specifically in educational settings like Zoom classes. It employs natural language processing and computer vision to parse meetings, identify speakers, analyze sentiments, detect topics, events, primary sources, and questions. The system generates tailored visualizations for different users, including participants, moderators, and administrators, facilitating a deeper understanding of group discussions.

Key Advantages

• Enhances online educational experiences by providing detailed analysis of virtual meetings
• Employs advanced technologies such as natural language processing and computer vision for comprehensive analysis
• Generates tailored visualizations for various user types, improving feedback and engagement
• Addresses the lack of research in video content analysis within educational contexts

Problems Addressed

• Difficulty in assessing participant engagement and understanding in virtual classrooms
• Lack of tools for comprehensive analysis of video and audio content in educational settings
• Challenges in identifying key topics and sentiments during online discussions
• Insufficient feedback mechanisms for educators and administrators in remote learning environments

Market Applications

• Educational platforms seeking to enhance virtual learning experiences
• Remote learning tools aiming to provide better engagement and feedback
• Educational research focused on improving online instructional methods
• Developers of virtual meeting platforms looking to integrate advanced analysis features

Additional Information

Technology ID: 2021-055
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Date Published: 28 March, 2025