Network video teaching interaction method based on artificial intelligence model

Along with continuous development of network science and society, network video teaching gradually becomes a popular learning mode, the network video teaching has certain limitation in the aspect of teacher-student interaction, students can have the problem of untimely reply when asking questions to...

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Hauptverfasser:	XU XINSHENG, XIAO SHIYU, CHEN XINHANG, LI HAIHANG, YANG LI, ZHOU YANG, WANG XIUHUI, ZHANG YI, OH SONG TAEK, LI XIAOLU
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CRYPTOGRAPHY DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES GLOBES PHYSICS PLANETARIA SEALS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Along with continuous development of network science and society, network video teaching gradually becomes a popular learning mode, the network video teaching has certain limitation in the aspect of teacher-student interaction, students can have the problem of untimely reply when asking questions to teachers, and the teachers also have relatively less teaching feedback, so that the teaching quality is influenced. Therefore, the invention provides a video teaching interaction method based on an artificial intelligence model. The method comprises the following steps: firstly, establishing an artificial intelligence model for teaching by utilizing an existing artificial intelligence large model, deploying the artificial intelligence model to a server, secondly, analyzing a teaching video and a teaching outline uploaded by a teacher to construct a training set, and finally, adjusting answer random degree parameters of an API (Application Program Interface) to form a virtual teacher. And the virtual teacher quickl