Chinese Composition Assessment

About

This solution analyses photos of handwritten Chinese compositions to provide scores and feedback based on teacher-configurable rubrics. The technical core combines Optical Character Recognition (OCR) with LLMs for text extraction. A multi-agent system separates perception from analysis, utilising LLMs to evaluate content against JSON-configured rubrics and employing semantic analysis LLMs to generate comprehensive feedback summaries.

Features

  • Handwriting Analysis: Capable of processing and scoring photos of handwritten Chinese text.

  • Configurable Rubrics: Allows teachers to set specific scoring criteria and rubrics.

  • Detailed Feedback: Generates scores along with natural language summaries and suggestions.

Latest Exemplars & Use Cases

Assessment: Cloze Test Generation

Assessment: Cloze Test Generation

This system utilises multi-agent collaboration to automatically source and check content from the web and generate cloze (fill-in-the-blank) tests, publishing them with learning management systems (LMS). It employs a multi-agent workflow in which one agent handles...

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