Multichannel information feature fusion academic early warning method, system and device and medium
A feature fusion and academic technology, applied in the field of machine learning, can solve problems such as low prediction accuracy, achieve the effect of improving accuracy and strengthening the ability to acquire time-series feature information
Active Publication Date: 2022-05-13
杭州远传新业科技股份有限公司
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[0004] The embodiment of the present application provides a multi-channel information feature fusion academic early warning method, system, device and medium to at least solve the problem of low prediction accuracy of existing academic early warning methods in related technologies
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[0041] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
[0042] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of ...
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The invention relates to an academic early warning method, system and device based on multi-channel information feature fusion and a medium, and the method comprises the steps: carrying out the preset coding of the multi-type behavior information of a student, obtaining the vectorization representation of each type of the multi-type behavior information, and obtaining the vectorization representation of each type of the multi-type behavior information through the abstract features extracted by a convolutional neural network; obtaining attention mechanism representation of the abstract features; fusing the attention mechanism representations to obtain fusion features of the multi-type behavior information; and setting a prediction period, and performing serialized academic early warning through a long-short-term memory network according to fusion features on a continuous time sequence taking the prediction period as an interval. According to the invention, the problem of low prediction accuracy of an existing academic early warning method is solved. According to the invention, academic early warning based on multi-channel student behavior information feature fusion is realized, the time sequence feature information acquisition capability is enhanced by using a long and short-term memory network, multiple types of features are fused by using an attention mechanism, and the accuracy of academic early warning of students is improved.
Description
technical field [0001] This application relates to the field of machine learning, in particular to an academic early warning method, system, device and medium for multi-channel information feature fusion. Background technique [0002] In the context of the era of big data, educational data mining uses theories and technologies in multiple disciplines such as educational psychology, computer science, and statistics to discover and solve various problems in educational research and teaching practice. The collection of data such as work and rest trajectories predicts their future academic performance. Currently, commonly used methods include machine learning methods such as: support vector machine, Bayesian, etc., integrated learning methods such as: xgboost, random forest, LightGBM, etc. In addition, There are neural network methods such as: convolutional neural network, recurrent neural network, etc., but these methods do not take into account the timing and periodic changes ...
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IPC IPC(8): G06Q10/04G06Q50/20G06K9/62G06N3/04
CPCG06Q10/04G06Q50/205G06N3/044G06N3/045G06F18/253
Inventor 嵇望安毫亿梁青陈默王伟凯
Owner 杭州远传新业科技股份有限公司