Classroom interaction network analysis method based on acoustic signals

Abstract

The invention discloses a classroom interaction network analysis method based on acoustic signals. The method comprises the steps of (1), performing data acquisition, specifically acquiring voice information in a classroom, and converting the voice information into audio signals; (2), performing data pre-processing, specifically performing re-sampling, pre-emphasis, framing, windowing and acousticsignal characteristic extraction on the acquired audio signals; (3), performing acoustic signal identification, specifically performing identification of voiceprints and emotion on audios, and obtaining the initial position, the sex and the emotional state of each speaker; and (4), performing classroom interaction analysis, specifically performing model construction for each speaker by using social network analysis, and finally, deciding the individual interaction difference in the classroom and the interaction structure of the classroom. By means of the classroom interaction network analysismethod based on the acoustic signals in the invention, classroom interaction behaviors can be analyzed quantitatively and qualitatively through the acoustic signals; classroom interaction is evaluated according to a social network analysis result; the teaching quality is fed back; and thus, the teaching effect is improved 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 term

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