Server-Based Image Capture Mission Distribution for Adaptive Learning
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Solution Overview
Problem
Conventional learning support systems do not incorporate image capturing tasks or missions, missing an opportunity to engage users in learning through image capture experiences and maintain motivation by progressing through levels of achievement.
Innovation Solution
A method is provided to distribute image capture missions to user terminals with image capture functions, where users complete tasks, and upon evaluation, receive new missions based on their level of achievement, promoting continuous learning and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional learning support systems distribute learning materials to user terminals, then users can access learning content, but the systems fail to engage users in image capturing activities and provide limited learning opportunities through practical experience
Solution Approach 1:
The server acts as an intermediary between learning materials and user terminals, distributing image capture missions that bridge theoretical learning with practical experience. The server receives captured images, evaluates them, and provides feedback, creating a complete learning loop that conventional systems lack.
Solution Approach 2:
The system distributes image capture missions in advance to user terminals before users actually perform the capturing. This preliminary distribution of structured tasks prepares users for practical experience and guides their learning journey through progressively challenging missions.
2Ease of operation
If learning support systems provide static learning materials, then content distribution is simple, but user motivation and engagement decrease over time
Solution Approach 1:
The system transitions from static learning materials to dynamic image capture missions that adapt based on user performance. Missions are updated and redistributed based on evaluation results, creating an evolving learning experience that maintains user motivation through progressive challenge and achievement.
Solution Approach 2:
The server evaluates captured images and provides feedback to users, creating a closed-loop system where user performance informs future mission distribution. This feedback mechanism sustains motivation by recognizing achievement and guiding continued improvement.
3Measurement precision
If the system evaluates user performance and provides new missions, then learning progression is enhanced, but system complexity increases
Solution Approach 1:
The server automatically evaluates captured images and determines achievement levels without requiring manual intervention. The system self-manages mission distribution, evaluation, and progression tracking, reducing operational complexity while maintaining precise measurement of user achievement.
Data Source
AI summary
A method includes providing a mission regarding image capturing to a user terminal having an image capture function, evaluating an image transmitted from the user terminal in response to the mission, and additionally providing a new mission regarding image capturing to the user terminal in a case where a level of achievement of the mission is determined to satisfy a criterion based on the evaluation.