Audio-visual teaching platform and recommendation subsystem, analysis subsystem, recommendation method, analysis method thereof

An analysis subsystem of an audio-visual teaching platform, comprising:

• an integrated multi-sequence analysis module generating a learning behavior data of a current user related to each of interactive factors at any one of interactive time points on a time axis of each of plural audio-visual knowledge content by means of a user clusteriag data, an image object sequence, an audio sequence, a message sequence and a time-sequential interactive sequence;
• a user-defined interactive element being set on an audio-visual knowledge content interface, and containing the interactive factors, each of the interactive factors provides input of an interactive data;
• a user analysis module using plural historical learning behavior data of all users in a database to calculate a distance and clustering according to each of the plural historical learning behavior data, and categorizing current users into corresponding user clusters to generate the user clustering data related to clustering results;
• an audio-visual content analysis module marking object in the image data belonging to the plural audio-visual knowledge content to generate the image object sequence related to each of time points in the plural audio-visual knowledge content, carrying on an audio frequency analysis of audio data belonging to the plural audio-visual knowledge content, and calculating a pitch of each of audio frames to generate the audio sequence related to each of the time points in the plural audio-visual knowledge content;
• a message analysis module using texts extracted from the database to carry on purpose classification for the interactive data to generate the message sequence related to a purpose of the interactive data;
• and
• a time-sequential interactive module correlating an input time of the interactive data and the corresponding time points in the time axis of the plural audio-visual knowledge content and generates the interactive time points, and combining each of the interactive time points in the time axis of the plural audio-visual knowledge content to generate the time-sequential interactive sequence.

An analysis method of an audio-visual teaching platform, comprising:

• inputting an interactive data into an interactive factor in a user-defined interactive element set on an audio-visual knowledge content interface;
• using user analysis module to calculate a distance and clustering of plural historical learning behavior data of all users in a database according to each of the plural historical learning behavior data, and categorizing current users into corresponding user clusters to generate a user clustering data;
• marking object in an image data belonging to an audio-visual knowledge content by an audio-visual content analysis module to generate an image object sequence related to each of time points in the audio-visual knowledge content;
• calculating a pitch of each of audio frames of audio data that belongs to the audio-visual knowledge content by the audio-visual content analysis module for audio frequency analysis to generate an audio sequence related to each of the time points in the audio-visual knowledge content;
• extracting texts in the database, and carrying on a purpose classification of the interactive data by a message analysis module to generate a message sequence related to a purpose of the interactive data;
• taking an input time of the interactive data with each of the corresponding time points in the audio-visual knowledge content to generate each of interactive time points by a time-sequential interactive module, and combining each of the interactive time points in a time axis of the audio-visual knowledge content to generate a time-sequential interactive sequence;
• and
• correlating the user clustering data, the image object sequence, the audio sequence, the message sequence and the time-sequential interactive sequence with the interactive data by an integrated multi-sequence analysis module to generate a learning behavior data at any one of the time points in the audio-visual knowledge content.

A recommendation method of an audio-visual teaching platform that is applied to an electronic device wherein the electronic device is performed, including:

• using an exploration module to generate at least one presumptive learning mode according to a learning behavior data of at least one user watching each of plural audio-visual knowledge content from multiple sources;
• using an experiment module to generate a subsequent learning experiment combination according to the at least one presumptive learning model, when the experiment module judges that the subsequent learning experiment combination meets a requirement of a key experimental indicator, the experiment module confirming an experiment is successful;
• using a verification module to validate whether the subsequent learning experiment combination meets a validation requirement according to any one of learning modes;
• and
• taking the subsequent learning experiment combination as a recommended learning combination when the verification module judges that the subsequent learning experiment combination meets the validation requirement.