Automatic test question generation method and terminal based on large-model multi-agent

Automatic test question generation method and terminal based on large-model multi-agent

The invention discloses an automatic test question generation method and terminal based on a large-model multi-agent. The method comprises a knowledge point analysis agent, a question solving agent, an evaluation agent and a question setting agent which are realized based on a large-scale language m...

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Bibliographische Detailangaben
Hauptverfasser: XU WENWEN, XU WENXING, CHEN HONG, NI HAN, LIU DEJIAN, CHI CHANGYAN, ZHAO SHIWAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses an automatic test question generation method and terminal based on a large-model multi-agent. The method comprises a knowledge point analysis agent, a question solving agent, an evaluation agent and a question setting agent which are realized based on a large-scale language model. Obtaining teaching contents and teaching targets selected by a user through a knowledge point analysis agent, and obtaining test question elements according to the teaching contents and the teaching targets; test questions are generated through a question setting agent according to the test question elements; solving the test questions through a question solving agent according to the teaching content to obtain question solving steps and answers; evaluating the test questions, the question solving steps and the answers through an evaluation agent to obtain test question feedback elements; updating the test questions, the question solving steps and the answers through a question setting agent according to the