Intelligent education exercise recommendation method capable of perceiving knowledge mastery degree

• Main Authors: GONG ZHIGUO, HUANG XIUJIE, CHENG XINGHE, FANG LIANGDA, CHEN GAOBO, GUAN QUANLONG, LUO WEIQI, LIN CHUANGHONG
• Format: Patent
• Language: Chinese; English
• Published: 14.05.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; 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

The invention relates to the technical field of exercise recommendation, in particular to an intelligent education exercise recommendation method capable of perceiving the knowledge mastery degree, which comprises the following steps: acquiring historical answer information of a user within a first preset time; the historical answer information is input into a preset perception prediction model, recommended exercise exercises of the user in a second preset time are output, the perception prediction model is trained through a data set, the data set comprises an exercise sequence, and the exercise sequence is formed by historical answer information of the user in a third preset time according to the time sequence; the third preset time is longer than and does not include the first preset time; the perception prediction model comprises a perception module and a prediction module, and the perception module is used for processing the exercise sequence in the data set to obtain an output vector; and the prediction