Method, device and system for feeding back network teaching effect

Abstract

The invention relates to a method, a device and a system for feeding back a network teaching effect based on a galvanic skin response signal. The system comprises a first terminal, a network server and a second terminal, wherein the first terminal is used for acquiring the galvanic skin response signal, and sending out the acquired galvanic skin response signal through network connection; the network server is used for receiving the galvanic skin response signal through network connection, and judging an emotional state of an object generating the galvanic skin response signal, and sending out the emotional state through network connection; and the second terminal is used for receiving the emotional state through network connection, and adjusting a teaching method according to the emotional state. Thus, the method, the device and the system for feeding back the network teaching effect based on the galvanic skin response signal can monitor emotional changes of a student through the galvanic skin response signal so as to adjusting the network teaching method according to the emotional change, and have high accuracy and good user experience.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method, device and system for feedbacking network teaching effects based on electrodermal response signals. Background technique [0002] At present, the knowledge teaching form of distance education / online classroom has been familiar to the majority of users. When using the online classroom (or online Q&A) in the form of the Internet, after the teacher has finished explaining, he will generally obtain feedback or evaluation of the classroom teaching effect from the students, such as asking whether the students understand the content in the classroom and whether the teacher’s explanation is in place , How is the quality of the lectures and so on. The traditional method is that the teacher asks the students whether they understand in person in the background of the network, and then the students on the client end reply; or the teacher directly pushes a message to the stude...

AI Technical Summary

Problems solved by technology

However, asking students face to face usually makes them nervous, so that there may be situations where students don't understand but say they understand because of face, which will lead to the information that students fill in or feedback is not true enough; or the teacher lectures The content of the course is indeed difficult to understand. Although some students feel dissatisfied in their hearts, they are perfunctory when filling in the feedback information, resulting in the inability to truly obtain information such as whether the students understand it or the degree of recognition of the quality of the course, especially when encountering " In the case of one-to-many online classrooms, the authenticity and effectiveness of this kind of feedback will be greatly reduced

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