Remote evaluation method for language affinity and system
An affinity and remote technology, applied in the field of communication, can solve the problems of high cost and low efficiency, and achieve the effect of high accuracy, fast processing and judgment speed
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Embodiment 1
[0025] The embodiment of the present invention discloses a language affinity remote evaluation method, such as figure 1 shown, including:
[0026] Step S1: Set at least two answer content options in each test question set by the server, and associate each answer content option with at least two answer tone options.
[0027] Step S2, establishing a remote communication connection between the client and the server through the B / S structure mode.
[0028] Step S3, the client sends the user evaluation request to the server to obtain the corresponding test set from the server, and when the user mouse moves to the area corresponding to any answer tone option, the voice corresponding to the answer tone option is played for the user to select, The user's test characteristics are then sent to the server.
[0029] Step S4, the server uses the Pearson correlation coefficient of the test feature and the standard feature to perform correlation calculation to obtain a corresponding evalua...
Embodiment 2
[0039] Corresponding to the above method embodiments, the present embodiment discloses a language affinity remote evaluation system, including a client and a server based on a B / S structure model:
[0040] The client is used to send a user evaluation request to the server to obtain the corresponding test question set from the server, and when the user moves the mouse to the area corresponding to any answer tone option, play the voice corresponding to the answer tone option for the user to choose, Then send the user's test characteristics to the server;
[0041] The server is configured to set at least two answer content options in each set test question, associate each answer content option with at least two answer tone options, and use the Pearson correlation coefficient between the test feature and the standard feature to perform correlation calculation to obtain Draw the corresponding conclusions:
[0042]
[0043] where ρ x,y To calculate the resulting Pearson correla...
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