A Classroom Interaction Network Analysis Method Based on Acoustic Signals

Abstract

The invention discloses a classroom interactive network analysis method based on acoustic signals. The method includes the following steps: Step 1, data collection: collecting voice information in the classroom and converting it into an audio signal; step 2, data preprocessing: The collected audio signal is subjected to resampling, pre-emphasis, framing, windowing, and acoustic signal feature extraction; step 3, acoustic signal recognition: recognize the voiceprint and emotion of the audio, and obtain the starting position of each speaker , gender, and emotional state; step 4, classroom interaction analysis: use social network analysis to build a model for each speaker, and finally determine the individual interaction differences in the classroom and the classroom interaction structure. The present invention can realize quantitative and qualitative analysis of classroom interaction behavior through acoustic signals, evaluate classroom interaction and feedback teaching quality according to social network analysis results, thereby improving teaching effect in a targeted manner.

Description

technical field [0001] The invention relates to the field of educational artificial intelligence and the field of educational technology, in particular to an acoustic signal-based classroom interaction network analysis method. Background technique [0002] In recent years, with the rapid development of artificial intelligence, big data, blockchain and other technologies, the demand for talents and the form of education have been changing. The intelligent environment has not only changed the way of teaching and learning, but has begun to deeply affect the concept, culture and ecology of education. In this general environment, the concept of educational technology will change. Educational technology should not only stay in the learning environment, but also be embedded in the learning system. [0003] The classroom learning environment is still the most important learning environment at present, and it is also the environment that generates the most data and is difficult to c...

AI Technical Summary

Problems solved by technology

However, the current analysis methods of scholars on classroom interaction are still in the stage of manual recording and processing. The manual processing method consumes a lot of manpower and may lead to some errors in judgment. to analyze

On the other hand, in terms of interaction analysis methods, most scholars only improved the teacher-student interaction analysis (S-T analysis) and the Flanders Interaction Analysis System (FIAS), and could not achieve a more comprehensive analysis of classroom interaction. accurate portrayal

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