Dynamic Questionnaire Generation for IT Training
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems for generating question banks in IT training are limited by their inability to produce customized, dynamic, and voluminous questions tailored to individual trainees' needs, especially considering diverse educational backgrounds and the impracticality of adequate faculty-trainee ratios in the IT industry.
Innovation Solution
A processor-based method and system that dynamically generates questionnaires by processing scenario statements in natural language to identify domain-specific entities, fields, and programming concepts, allowing for the creation of customized questions in a natural language, agnostic to formal language syntax, with adjustable difficulty levels and re-usable variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional question bank generation methods are used, then faculty can manually create questions, but the time investment and faculty dependency increase significantly
Solution Approach 1:
The system enables self-service by automatically generating customized questionnaires without requiring faculty intervention. The automated system processes training requirements and generates appropriate questions independently, eliminating the need for manual question creation by faculty members while maintaining high customization levels.
Solution Approach 2:
The patent replaces the mechanical manual process of question creation with an automated computer-based system. The mechanical system involved faculty manually analyzing trainee profiles and writing questions, which is substituted by an automated system that uses algorithms to generate customized questionnaires based on input parameters.
2Measurement precision
If customized questions are generated for each trainee, then training effectiveness improves, but the faculty-trainee ratio becomes impractical
Solution Approach 1:
The system empowers itself to generate customized questionnaires without requiring faculty resources. Each trainee receives personalized questioning through the automated system, which handles the complexity of customization internally without needing proportional faculty support.
Solution Approach 2:
The system creates customized questionnaires as unique copies tailored to each trainee's specific requirements, background, and skill level. Rather than having faculty manually create unique content for each person, the system generates customized copies automatically based on individual trainee profiles.
3Quantity of substance
If voluminous unique questionnaires are created for each trainee, then training coverage improves, but the scalability becomes limited
Solution Approach 1:
The patent replaces the manual mechanical process of creating voluminous unique questions with an automated computational system. This substitution enables the generation of large numbers of customized questions at scale without linearly increasing the resources required, thus improving scalability.
Solution Approach 2:
The system generates diverse unique questions by varying multiple parameters such as trainee background, skill level, specific knowledge areas, and question difficulty. By systematically changing these parameters, the system produces voluminous unique questionnaires that are tailored to each trainee while maintaining scalability through parameter-driven generation.
Data Source
AI summary
The present disclosure provides systems and methods for dynamically generating subjective questionnaires on programming concepts in a natural language with desired number of unique questions and having a desired level of difficulty. Conventionally known systems and methods are based on pre-defined templates without any emphasis on logic building for various business scenarios and mostly cater to objective type multiple choice questions. Dynamic generation of subjective questions that are customized to address the needs of each trainee based on an earlier evaluation to make his/her training effective is critical to an effective training. The present disclosure achieves this by providing operations wherein logic building is driven through entities and fields identified for a specific business scenario.