AI Micro-Credential System for Validating Life Experiences

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Minoritized individuals face an opportunity gap in academic and career advancement due to underrepresentation of their unique life experiences and skills in traditional credentialing systems, which lack recognition and validation of valuable life skills.

Innovation Solution

A system and method that utilizes AI and machine learning to document, validate, and accredit life experiences as micro-credentials, bridging the gap between individual skills and educational or workplace recognition through an online portal that translates everyday experiences into trusted credentials.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional credentialing systems are used, then academic and career advancement opportunities are limited for minoritized individuals, but implementing a new micro-credential system increases system complexity and requires AI/ML infrastructure

Engineering Contradiction:

Improvecredential recognitionVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments traditional credentialing into micro-credentials that can be independently validated and accumulated. Each micro-credential represents a specific skill or experience component, allowing flexible combination and recognition across different educational and professional contexts without requiring complete system overhaul

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The micro-credential system is designed to serve multiple functions: validating life experiences, documenting skills, providing academic credit, and enabling career advancement. This multi-functionality allows a single system to address diverse needs of minoritized individuals across educational and professional domains

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Measurement precision

If AI and machine learning are used to validate life experiences, then skill recognition accuracy improves, but computational resources and processing time increase

Engineering Contradiction:

Improveskill validation accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary processing by having users submit structured life experience narratives before AI/ML validation. This pre-structuring of data reduces the computational burden during the actual validation phase, as the AI models work with organized, pre-categorized information rather than raw unstructured text

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces human reviewers as intermediaries between user submissions and AI validation. These reviewers pre-screen and categorize life experience narratives, reducing the volume and complexity of data requiring full AI/ML processing while maintaining validation accuracy through a hybrid human-AI approach

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If micro-credentials are issued for diverse life experiences, then inclusivity and opportunity access improve, but credential standardization and quality control become more difficult

Engineering Contradiction:

Improveexperience recognitionVSAvoidcredential standardization

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system applies different validation criteria and standards to different types of life experiences and micro-credentials. Rather than enforcing uniform standards across all credentials, the system tailors validation approaches to specific experience categories (e.g., caregiving, community leadership, artistic creation), ensuring appropriate rigor while maintaining inclusivity

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent implements dynamic parameter adjustment in credential validation, where the stringency and focus of validation criteria change based on the type of life experience being validated. This allows the system to maintain quality control while accommodating diverse experiences by adapting validation parameters to match the specific context and significance of each experience type

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11550832B2Systems and methods for micro-credential accreditation

Publication Date: 2023.01.10 LIVEDX INC

AI summary

Systems and methods provide micro-credential accreditation. The systems and methods analyze, using one or more prediction models, received text submissions received from applicants via interaction with an applicant device. The prediction model(s) fit one or more micro-credentials to the received text submission, which may collectively or independently qualify the applicant for one or more accreditation credits. By processing the received text submission, the systems and methods allow for consistent and standard output of micro-credentials by the prediction model(s). Furthermore, the systems and methods provide for monitoring the prediction model output(s) to ensure ethical fairness across varying demographic groups of applicants.