Neural Network Scoring System for Automated Test Evaluation
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Solution Overview
Problem
Manual scoring of test papers, homework, and martial arts/exercises is subjective, low in precision, time-consuming, and lacks uniform standards, leading to inefficiencies and inaccuracies.
Innovation Solution
An information processing device and method utilizing an artificial neural network chip to automatically score and provide feedback by identifying key features, computing confidence, and generating scores, which includes a storage module, data processing module, and Direct Memory Access (DMA) for efficient computation and caching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual scoring is used, then teachers can provide subjective feedback and guidance, but the scoring process is time-consuming and lacks precision
Solution Approach 1:
The patent replaces the manual mechanical scoring process with an artificial neural network system that automatically processes input data through multiple layers (input layer, hidden layers, output layer) to generate scores and feedback, eliminating the need for manual evaluation while maintaining or improving precision
Solution Approach 2:
The system performs self-evaluation through the artificial neural network that processes input data, computes confidence values, generates scores, and provides feedback automatically without requiring human intervention, enabling the system to serve itself in the scoring process
2Reliability
If manual scoring is used, then teachers can provide qualitative feedback, but the process is subjective and lacks uniform standards
Solution Approach 1:
The patent transforms subjective qualitative evaluation into objective quantitative parameters by computing confidence values and scores through mathematical operations in the neural network, changing the nature of feedback from subjective to objective and improving reliability
Solution Approach 2:
The artificial neural network system provides universal scoring capability that can evaluate different types of input data (images, text, videos) using the same standardized process, eliminating the need for different evaluation criteria for different subjects and ensuring uniform standards
3Measurement precision
If artificial neural network scoring is implemented, then scoring precision and objectivity are improved, but computational resources and system complexity increase
Solution Approach 1:
The patent divides the computational task into segmented processing stages (input data processing, hidden layer computations, output layer score generation) that can be executed efficiently through modular neural network layers, reducing overall computational energy requirements while maintaining precision
Data Source
AI summary
The application provides an information processing device, system and method. The information processing device mainly includes a storage module and a data processing module, where the storage module is configured to receive and store input data, instruction and output data, and the input data includes one or more key features; the data processing module is configured to identify the key features included in the input data and score the input data in the storage module according to a judgment result. The information processing device, system and method provided by the application automatically scores text, pictures, audio, video, and the like instead of manually scoring, which is more accurate and faster.