Adaptive Digital Training System for Developmental Disabilities
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Solution Overview
Problem
Traditional systems for training individuals with developmental disabilities are not adaptable and require direct service providers or teachers to use separate systems for tracking notes on performance, lacking real-time guidance and progress monitoring.
Innovation Solution
A system comprising a trainer computing device and a trainee computing device, connected to a server, that provides step-by-step instructions with visual, audio, and textual guidance, allows real-time monitoring of progress, assigns task scores, and adjusts complexity levels based on performance, enabling personalized training sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional printed binders with step-by-step instructions are used, then individuals with developmental disabilities can receive training guidance, but the system is not adaptable and requires separate systems for tracking performance notes
Solution Approach 1:
The patent combines training instructions and performance tracking into a single digital system. The computing device integrates step-by-step task instructions with automated performance monitoring, eliminating the need for separate note-taking systems and printed binders while providing both guidance and tracking functions in one unified platform.
Solution Approach 2:
The digital system performs multiple functions simultaneously: it provides task instructions, monitors performance in real-time, tracks progress, and generates reports. This multi-functional approach replaces multiple separate tools (printed instructions, separate tracking systems, notebooks) with a single versatile digital platform that adapts to different training needs.
2Measurement precision
If traditional separate systems are used for training instructions and performance tracking, then trainers can provide guidance, but real-time monitoring and progress tracking are not achieved
Solution Approach 1:
The system implements real-time feedback by automatically monitoring the trainee's performance against the task steps. As the trainee completes each step, the system detects and records this information immediately, providing continuous progress tracking without requiring manual data entry. This automated feedback loop ensures accurate measurement while simplifying the trainer's workflow.
Solution Approach 2:
The system enables self-service performance tracking where the trainee's actions are automatically detected and recorded by the computing device. The system monitors which task steps are completed, how long they take, and what assistance is needed, all without requiring the trainer to manually observe and record each action. This automated self-tracking achieves precise measurement while maintaining ease of operation.
3Adaptability or versatility
If printed binders with step-by-step instructions are used, then training can be provided, but the system lacks real-time guidance and adaptability to individual performance
Solution Approach 1:
The patent replaces the mechanical printed binder system with a digital computing device that can dynamically adapt content. The digital system substitutes static printed instructions with flexible electronic displays that can modify task steps, provide real-time feedback, and adjust to individual trainee performance patterns, preventing loss of performance data through automated digital recording.
Solution Approach 2:
The system transitions from static printed instructions to dynamic digital content that can change in real-time based on trainee performance. The computing device adjusts task difficulty, modifies instruction presentation, and adapts the training sequence dynamically, ensuring personalization while maintaining comprehensive performance records without data loss.
Data Source
AI summary
Systems and methods are provided including a trainer computing device for a trainer providing training to a trainee having a developmental disability. A server stores data for a task having task steps, each having associated instructions. A trainee computing device outputs the associated instructions for each task step while the trainee is performing the task. The trainer computing device enables the trainer to monitor progress of the trainee and assign a task step score indicating a level of guidance provided by the trainer while the trainee was completing each task step. The server selects a complexity level to be used during a subsequent training session when the trainee performs the task based on the task step scores for the task steps, the complexity level indicating training conditions and an amount of oversight to be provided by the trainer to the trainee during the subsequent training session.