Virtual Voice Coach for Personalized Feedback

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Solution Overview

Problem

Existing virtual education platforms face challenges such as high registration rates with low completion rates, limited interaction between students and teachers, and the inability to provide instant, personalized feedback to students, especially in remote learning settings.

Innovation Solution

A computer-implemented digital educational assistance method and system that includes a programmable virtual voice coach, allowing instructors to anticipate and store questions and answers, compare student queries to anticipated questions, and provide instant feedback in the instructor's unique teaching style.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a virtual education platform is implemented to enable distance learning, then accessibility and convenience are improved, but interaction quality and completion rates deteriorate

Engineering Contradiction:
ImproveaccessibilityVSAvoidcompletion rate
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system implements automated feedback mechanisms where AI assistants analyze student responses and provide immediate corrective feedback, mimicking instructor-student interaction. This continuous feedback loop keeps students engaged and improves completion rates while maintaining the accessibility of remote learning

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

An AI assistant acts as an intermediary between students and instructors, handling routine interactions, providing immediate responses, and flagging issues for instructor attention. This mediator maintains interaction quality while preserving the accessibility benefits of virtual platforms

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If instructors manually respond to all student questions, then interaction quality is improved, but time consumption and cost increase

Engineering Contradiction:
Improveinteraction qualityVSAvoidinstructor time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The AI assistant enables self-service learning by providing immediate automated responses to common student questions, allowing students to resolve issues independently without consuming instructor time, while maintaining interaction quality through personalized AI responses

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system creates copies of instructor responses and teaching styles through AI training on instructor materials, enabling automated responses that replicate instructor quality without requiring instructor time investment for each interaction

Inventive Principle:
Principle #26Copying

3Loss of information

If detailed instructional materials are provided, then learning completeness is improved, but student engagement and readability decrease

Engineering Contradiction:
Improvelearning completenessVSAvoidreadability
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The system segments detailed instructional materials into smaller, manageable units and delivers them contextually through AI interactions, maintaining learning completeness while improving readability through bite-sized, relevant information delivery

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adapts the presentation of instructional materials based on student needs, providing detailed information only when requested or when gaps are detected, thereby maintaining engagement while ensuring learning completeness through on-demand information delivery

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20250157354A1Virtual educational platform
Publication Date: 2025.05.15 MONTEFUSCO JOSEPH
  • US20250157354A1 patent drawing
  • US20250157354A1 patent drawing
  • US20250157354A1 patent drawing

AI summary

A computer-implemented method for providing a virtual voice coach including receiving one or more anticipated questions from an instructor device, receiving one or more answers corresponding to the one or more anticipated questions from the instructor device, storing the one or more anticipated questions and the one or more answers on the instructor database, receiving one or more student questions from the one or more student devices, determining a most similar anticipated question of the one or more anticipated questions based on a similarity between each of the one or more student questions to each of the one or more anticipated questions, retrieving the one or more answers from the instructor database based on the most similar anticipated question, returning the one or more answers to the student device, and causing the one or more student devices to play the one or more answers.