Multi-modal unified intelligent learning diagnosis modeling method and system, medium and terminal

Abstract

The invention belongs to the technical field of education big data mining, and discloses a multi-modal unified intelligent learning diagnosis modeling method and system, a medium and a terminal. The method comprises the steps: constructing a multi-channel cognitive diagnosis model, performing preliminary diagnosis on learners, and performing parameter estimation on learning resources to obtain a learning resource parameter set and a learner parameter set; performing modeling on the learning resources and learners to obtain depth representation features; introducing a self-attention mechanism to fuse learner features and learning resource features; taking the fusion features as a data basis for predicting the performance condition of the learner, and constructing a learner performance prediction network to obtain a predicted value of the correct answer probability of the learner; and diagnosing the overall knowledge point mastering condition of the learner according to the characteristic information of the learner and the exercises, and acquiring parameter characterization of the exercises. The advantages of the multi-channel cognitive diagnosis model can be fused, the neural network is designed to carry out intelligent learning diagnosis on the learner, and expandability is achieved.

Description

technical field [0001] The invention belongs to the technical field of educational big data mining, and in particular relates to a multimodal unified intelligent learning diagnosis modeling method, system, medium, and terminal. Background technique [0002] In recent years, with the rapid development of information technology such as artificial intelligence, the education industry is also constantly leaping towards the direction of intelligence and informationization. The integration of modern information technology and traditional teaching models and education methods has formed the "Internet + Education" service New format. Internet education can realize new teaching methods such as personalized guidance and intelligent learning evaluation, provide teachers and learners with accurate and effective guidance information, and improve teaching and learning effects. [0003] Cognitive diagnosis and evaluation is an auxiliary method to realize smart education. Specifically, it ...

AI Technical Summary

Problems solved by technology

[0009] (1) The modeling angle and parameters of the traditional cognitive diagnosis model are relatively single, and it is impossible to use different methods for comprehensive consideration from multiple different dimensions, resulting in a one-sided diagnosis result and low accuracy

[0010] (2) The traditional cognitive diagnosis model has relatively strict requirements on data scale, and the accuracy of diagnostic results is low if the scale is small, and the efficiency will be greatly reduced if the scale is too large

[0011] (3) The existing non-parametric-based artificial intelligence diagnosis method is a black-box method, which cannot give its results a good pedagogical interpretation, and its usability is limited to a certain extent

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