Intelligent Learning System Personalizing Skill Development

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Solution Overview

Problem

Existing methods for team development and learning in businesses are ineffective due to the diverse traits and motivations of employees, making it challenging to create personalized and efficient learning programs that enhance individual strengths and address weaknesses.

Innovation Solution

A data-driven intelligent learning and development method that assesses individual traits, provides personalized skill practice areas, and offers customizable learning schedules, including self-paced and automatic schedules, along with access to a knowledge center for skill enhancement and strategy implementation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional team development methods are used, then all employees receive the same learning programs, but this fails to account for individual trait differences and reduces learning effectiveness

Engineering Contradiction:

Improvepersonalization of learning programsVSAvoidcomplexity of learning system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The learning program is segmented into multiple practice areas (e.g., communication, leadership, technical skills) that can be individually selected and customized for each employee based on their specific trait assessments and development needs

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The learning program dynamically adapts to each employee's progress, preferences, and pace through automated scheduling that adjusts content delivery based on individual interaction patterns and performance data

Inventive Principle:

Principle #15Dynamics

2Reliability

If personalized learning programs are created for each employee, then learning effectiveness improves, but the time and resources required to develop and manage these programs increase

Engineering Contradiction:

Improvelearning effectivenessVSAvoidtime to develop learning programs

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically generates personalized learning programs by retrieving assessment data, identifying skill gaps, and selecting appropriate practice areas without requiring manual intervention from trainers or HR personnel

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors employee progress through assessments and performance data, using this feedback to automatically adjust and refine personalized learning programs, ensuring they remain effective and relevant

Inventive Principle:

Principle #23Feedback

3Productivity

If learning programs are highly customized to individual traits, then employee engagement increases, but the complexity of tracking and managing individual progress increases

Engineering Contradiction:

Improveemployee engagementVSAvoidcomplexity of progress tracking

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

A single integrated system performs multiple functions including trait assessment, program generation, content delivery, progress tracking, and analytics across all employees, eliminating the need for separate manual processes for each function

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10909469B2Data driven intelligent learning and development apparatus and method

Publication Date: 2021.02.02 SUREPEOPLE LLC

AI summary

A data driven intelligent learning and development apparatus and method using an assessment of various traits of an individual to develop skill practice areas, each with one or more development strategies to enhance and/or maintain selected skills of an individual related to the practice areas.