Blockchain Mining for Online Course Performance Rewards
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Solution Overview
Problem
Online education systems face challenges in providing individualized learning experiences for students and optimizing resource allocation due to the solitary nature of online learning, leading to inefficiencies and increased hardware/software costs for providers.
Innovation Solution
A blockchain-based system that utilizes artificial intelligence and data capturing devices to secure user information and generate crypto-coins, providing personalized feedback and resource optimization by monitoring user engagement and adjusting resource allocation based on learning patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If online education systems purchase enough hardware or software services to serve worst-case scenarios, then system reliability is improved, but cost increases
Solution Approach 1:
The patent implements dynamic resource allocation where computing resources are adjusted in real-time based on actual user engagement metrics and learning patterns. The system transitions from static over-provisioning to dynamic scaling, allocating resources only when and where needed based on monitored student activity and performance data.
Solution Approach 2:
The system uses AI-driven analytics to automatically monitor student engagement, detect learning patterns, and self-adjust resource allocation without manual intervention. The platform serves itself by identifying when additional computational resources are needed based on real-time performance metrics and student interaction data.
2Ease of operation
If online learning is conducted in a solitary way, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements continuous feedback loops where student performance data, engagement metrics, and learning patterns are captured and analyzed in real-time. This feedback is used to dynamically adapt course content, difficulty levels, and resource allocation to each student's needs, enabling individualized learning while maintaining online accessibility.
Solution Approach 2:
The system performs preliminary analysis of student learning patterns and performance metrics to proactively adjust course materials and resource allocation before students encounter difficulties. AI algorithms predict learning needs and prepare personalized content adjustments in advance, enabling adaptive learning without requiring real-time intervention.
Data Source
AI summary
A method for a computer system includes receiving a request from a client system comprising a request for streaming data, providing to the client system the streaming data, receiving from the client system, the user activity data in response to providing the streaming data, determining whether the user activity data exceeds a threshold activity level, instantiating a blockchain mining software instance when the user activity data exceeds the threshold activity level, associating the blockchain mining software instance with a user of the client system, and sending a notice to the client system that the block chain mining software instance is associated with the user.