Assessment Item Knowledge Bases for Competency-Based Role Matching
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Solution Overview
Problem
Existing systems face challenges in objectively matching individuals to roles based on their competency levels due to the complexity and subjectivity of learning processes, making it difficult to accurately assess and improve educational and professional training outcomes.
Innovation Solution
A computer system identifies target competency level profiles for roles and determines ability levels of respondents using assessment data, associating them with appropriate roles based on the difference between their ability and target ability levels, and stores these associations in a memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional subjective assessment procedures are used to evaluate competency levels, then the assessment process is simpler to implement, but the accuracy and objectivity of competency matching deteriorates
Solution Approach 1:
The patent introduces a computer system as an intermediary between the assessment process and the matching outcome. This system objectively processes assessment data, calculates ability levels using standardized methods, and generates role recommendations, thereby eliminating subjectivity while managing complexity through automation.
Solution Approach 2:
The patent replaces manual, subjective human judgment with an automated computer-based system that uses standardized algorithms to assess competency levels and match respondents to roles. This substitution of mechanical/automated processes for human judgment improves objectivity and precision.
2Reliability
If comprehensive assessment data collection is implemented to improve matching accuracy, then the quality of role matching improves, but the time and resources required for assessment increases
Solution Approach 1:
The patent performs preliminary processing of assessment data by pre-calculating ability levels and storing them in a database. This allows the matching process to efficiently retrieve and compare pre-processed information rather than re-evaluating raw assessment data, thereby maintaining reliability while reducing time loss.
Solution Approach 2:
The patent creates a digital copy of respondent ability levels in a database structure that can be efficiently queried and compared against role requirements. This copying and storage of processed information enables rapid matching without repeatedly analyzing the original comprehensive assessment data.
Data Source
AI summary
Systems and methods for matching roles and respondents can include a computer system identifying one or more target competency level profiles of one or more roles. The computer system can receive assessment data indicative of performances of a plurality of respondents with respect to the plurality of assessment items. The computer system can determine, using the assessment data and the target competency level profiles, an ability level for each respondent of the plurality of respondents and a target ability level for each target competency level profile of the one or more target competency level profiles. The computer system can associate a first respondent of the plurality of respondents with a first role of the one or more roles based on a difference between an ability level of the first respondent and a target ability level of a first target competency level profile of the first role.