A student dropout prediction method based on attention deep learning model
A technology of deep learning and prediction methods, applied in neural learning methods, prediction, biological neural network models, etc., can solve problems such as low accuracy
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[0040] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.
[0041] see figure 1 , figure 1 It is a schematic flowchart of a method for predicting student dropout based on the Attention deep learning model provided by the present invention. Specifically, the method for predicting student dropout based on the Attention deep learning model may include the following steps:
[0042] S101. Screen and preprocess a data set of original online learning behavior-related data;
[0043] In the embodiment of the present invention, please refer to figure ...
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