Dynamic Question Generation for Adaptive Learning Systems
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Solution Overview
Problem
Conventional learning systems fail to provide dynamically generated questions tailored to individual learners' needs, leading to boredom and inadequate learning effects due to fixed question sets not related to learners' histories.
Innovation Solution
An information processing apparatus with a dictionary storage, input device, and processor that dynamically generates questions based on learner input operations, such as erroneous inputs, deletions, and non-input times, using dictionary search results to create fill-in-the-blank or multiple-choice questions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If questions are prepared as fixed values in advance, then the learning system is simple to implement, but the questions cannot be dynamically adjusted to individual learners' needs
Solution Approach 1:
The system automatically generates questions based on learners' dictionary search history and input operations without requiring manual intervention. The processor dynamically creates fill-in-the-blank or multiple-choice questions by analyzing search logs, thereby adapting to individual learners' needs while maintaining system simplicity
Solution Approach 2:
The question generation system transitions from static pre-prepared questions to dynamic question creation. The processor continuously analyzes learners' search behavior and generates customized questions in real-time, making the learning content adaptable to each learner's progress and difficulties
2Ease of operation
If the same fixed questions are presented to all learners, then the system is easy to operate, but learners may get bored or insufficient learning effect is obtained
Solution Approach 1:
The system utilizes feedback from learners' dictionary search history and input operations to dynamically adjust question generation. By analyzing search logs and input patterns, the processor creates questions that reflect each learner's specific difficulties and progress, thereby maintaining high learning effectiveness while keeping the system easy to operate
Solution Approach 2:
The system performs preliminary analysis of learners' search history and input operations before generating questions. This preliminary action enables the processor to anticipate learners' needs and create appropriately difficulty-matched questions, improving learning effectiveness without complicating the user interface
3Extent of automation
If questions are generated based on laser pointer operations, then questions can be dynamically created, but the questions are not related to individual learners' learning history
Solution Approach 1:
The system automatically generates questions by analyzing learners' own dictionary search history and input operations. The processor extracts learning content from each learner's unique search patterns and creates personalized questions, achieving both automatic generation and personalization simultaneously
Solution Approach 2:
The question generation system dynamically adapts to each learner's behavior by continuously analyzing search logs and input operations. The processor adjusts question content, difficulty, and type based on real-time analysis of individual learner patterns, making the system both automated and highly personalized
Data Source
AI summary
An information processing apparatus according to an embodiment of the disclosure includes: a dictionary storage that stores headwords and dictionary contents associated with information corresponding to the headwords; an input device that inputs a character string in accordance with an input operation; and a processor that makes a question for learning the character string, based on a character string entered to the input device as a search target for a headword of the dictionary contents and an input operation of entering the character string to the input device.