Portable Skill Capture for Objective Competency Assessment
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Solution Overview
Problem
Existing methods for employee skill assessment in organizations are inadequate, lacking objectivity, depth, and adherence to global standards, leading to inaccurate training needs assessments.
Innovation Solution
A system and method for end-to-end technical and behavioral competency assessment using a portable skill capture device with sensors and AI, enabling objective and comprehensive skill evaluation, followed by customized training management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If test papers are prepared by internal or external experts for skill assessment, then the assessment can be conducted, but the test papers may not cover all required knowledge domains and the quality varies depending on the competency levels and time available by the test creators
Solution Approach 1:
The patent introduces AI-based automated test paper generation as an intermediary between the assessment requirements and the actual test administration. The system uses AI algorithms to automatically generate, validate, and optimize test questions based on predefined competency frameworks, eliminating the dependency on human experts while ensuring comprehensive coverage and consistent quality across all assessments.
Solution Approach 2:
The system dynamically adjusts test parameters such as question difficulty, topic distribution, and question types based on the assessed competency level and required knowledge domains. The AI engine optimizes these parameters automatically to ensure the test paper meets global standards and comprehensively covers all required areas without manual intervention.
2Ease of operation
If supervisors or peers provide inputs on technical/behavioral competencies, then the assessment can be conducted, but the list of desired areas remains at a higher level lacking depth and specificity
Solution Approach 1:
The patent segments the competency assessment framework into multiple hierarchical levels: broad competency areas, specific sub-competencies, and granular behavioral indicators. The system automatically breaks down high-level competency lists into detailed measurable parameters, enabling supervisors to provide inputs at any level while the system ensures comprehensive coverage down to the most specific measurement points.
Solution Approach 2:
The AI-based assessment platform acts as an intermediary that translates high-level competency inputs from supervisors into detailed, standardized measurement frameworks. The system automatically expands generic competency descriptions into specific, measurable behavioral indicators and sub-competencies, ensuring depth and specificity without requiring supervisors to manually define each detail.
3Ease of operation
If subjective assessment methodology is used by supervisors or peers, then the assessment can be conducted, but it may not be adequate for making a judgment on the skill levels of the target population
Solution Approach 1:
The patent replaces the mechanical system of subjective human judgment with an AI-based automated assessment engine. The system uses machine learning algorithms and predefined competency frameworks to objectively evaluate skill levels based on test performance data, eliminating human bias while maintaining ease of operation through automated test administration and result generation.
Solution Approach 2:
The system implements continuous feedback loops where AI algorithms analyze test responses, compare them against standardized competency frameworks, and generate objective skill level assessments. The feedback mechanism includes detailed performance analytics, competency gap analysis, and standardized scoring that ensures reliable and consistent skill level judgments across all assessments.
4Quantity of substance
If Learning Management Systems are used as a repository of courses, then training materials can be stored, but it serves only as a repository and does not provide end-to-end training management
Solution Approach 1:
The patent transforms the single-function Learning Management System into a multi-functional integrated platform that combines competency assessment, training needs analysis, personalized learning path generation, training delivery, and outcomes evaluation. The AI engine enables the system to perform multiple functions across the entire training lifecycle, from identifying skill gaps to delivering customized training and measuring effectiveness.
Solution Approach 2:
The system merges previously separate functions (assessment, training planning, delivery, and evaluation) into a unified AI-driven platform. The competency assessment module integrates directly with the training management module, allowing automatic generation of training recommendations based on assessment results and seamless tracking of training outcomes, creating an end-to-end training management ecosystem.
Data Source
AI summary
The various embodiments of the present invention provide a system and method for end-to-end skill/competency assessment for both technical and behavioral skills, objectively and scientifically. The invention comprises a portable skill capture device for capturing the technical and behavioral skills of a person. The skill capture device is configured to capture audio visual inputs enabling audio, image and video recording enabling evidence-based skill assessment and eliminating human bias. The invention also enables end-to-end training management including training needs assessment, training planning, administering training and training evaluation. The system is also configured to enable a plurality of operational aspects of training and assessments, including test paper authoring, test administration, data collection, data analysis, training needs assessment, training planning and administration, continuous assessment, dashboard generation and Management Information System (MIS) for further decision making.