Intelligent student test paper marking and multi-dimensional evaluation system based on artificial intelligence large language model

Abstract

The invention relates to an intelligent student test paper marking and multi-dimensional evaluation system based on an artificial intelligence large language model. The system comprises a plurality of functional modules: a test paper content input module, an automatic marking module driven by a large language model, a personalized feedback module, a multi-dimensional evaluation module, a self-adaptive scoring module, an open question marking module, a transparent scoring report generation module and a teacher intervention module. The system can automatically process various types of test questions, especially complex open problems, and performs intelligent review and evaluation through a large language model. Through the multi-dimensional evaluation module, the system not only evaluates the answer correctness of the students, but also can perform comprehensive evaluation from multiple aspects of logical thinking, analysis ability, innovation ability and the like. And the personalized feedback module provides customized learning suggestions based on historical performance for the students, so that the learning efficiency of the students is improved. The self-adaptive scoring module dynamically adjusts the scoring standard according to the answer condition of the student to ensure fairness and reasonability. The system also generates a transparent scoring report, and allows the teacher to intervene and adjust the scoring result, so as to form a cooperation mode combining intelligentization and manual evaluation. The test paper marking efficiency and evaluation quality can be greatly improved, and the method is suitable for various education evaluation scenes.

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