AI Question Generator for Learning Management Systems
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Solution Overview
Problem
Creating high-quality questions for assessments in learning management systems is time-consuming for instructors, and students struggle with retaining information due to lack of engagement in the learning process.
Innovation Solution
An AI-powered question generator system that utilizes large language models to automatically generate questions and answers based on course material and predetermined parameters, offering customizable options and real-time feedback to enhance engagement and knowledge retention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If instructors manually create high-quality questions for assessments, then question quality is improved, but time consumption increases
Solution Approach 1:
The system enables self-service by allowing the LMS to automatically generate assessment questions using AI/ML algorithms. The system analyzes course content and autonomously creates high-quality questions without requiring instructor manual intervention, thus resolving the contradiction between maintaining question quality and reducing time consumption.
Solution Approach 2:
The patent replaces the mechanical process of manual question creation with an automated AI/ML-based system. The machine learning model processes course content and generates assessment questions automatically, substituting the instructor's manual effort with an automated computational system that maintains question quality while significantly reducing time investment.
2Ease of operation
If traditional assessment methods are used, then implementation is simple, but student engagement and knowledge retention decrease
Solution Approach 1:
The system introduces dynamics by generating diverse question types and adaptive assessment scenarios that respond to student performance. The AI/ML model creates varied questioning strategies and adjusts assessments based on individual student needs, transforming static traditional assessments into dynamic, engaging experiences that improve knowledge retention while maintaining ease of implementation through automation.
Solution Approach 2:
The patent applies parameter changes by varying question characteristics such as difficulty level, question type, and topic focus based on course content analysis. The system dynamically adjusts assessment parameters to create engaging and challenging questions that adapt to different learning objectives, thereby improving knowledge retention without complicating the implementation process.
3Productivity
If AI-powered automated question generation is implemented, then time consumption is reduced, but system complexity increases
Solution Approach 1:
The patent achieves universality by designing an integrated LMS platform that combines multiple functions: course content management, AI/ML-based question generation, automated assessment, and performance tracking. This multi-functional system consolidates what would otherwise be separate complex systems into a unified platform, improving productivity while managing overall system complexity through integration.
Solution Approach 2:
The system introduces an intermediary AI/ML layer that bridges course content and assessment generation. This intermediary component processes course materials and automatically transforms them into assessment questions, acting as a mediator that simplifies the overall system architecture while enabling automated question generation and improving productivity.
4Ease of manufacture
If standardized assessments are used, then grading is straightforward, but personalized learning feedback is limited
Solution Approach 1:
The system performs preliminary action by pre-defining multiple question types and answer evaluation criteria before assessments are administered. The AI/ML model prepares various questioning formats and grading frameworks in advance, enabling both automated straightforward grading and the capability to provide personalized feedback based on pre-configured evaluation parameters, thus resolving the contradiction between grading ease and personalized feedback.
Data Source
AI summary
A method and system for automated question generation in a learning management system. The method including: receiving a question generation request, wherein the question generation request relates to a course; analyzing course material for the course related to the question generation request; and generating questions based on the analysis and predetermined parameters. The system including: a processor; a memory for storing computer readable instructions, which, when executed by the processor, generate the following modules: a question generation system for receiving a question generation request, wherein the question generation request relates to a course; a question configuration module for analyzing course material for the course related to the question generation request; and an automatic question setting module for generating questions based on the analysis and predetermined parameters.