Deep neural network cognitive level evaluation model based on Bloom cognitive classification theory

The invention discloses a deep neural network cognitive level evaluation model based on a Bloom cognitive classification theory, belongs to the field of deep learning, and is applied to automatic evaluation of cognitive levels of students in an online education process. The model is based on classroom text interaction data, takes a Bloom cognitive classification theory as a cognitive level analysis framework, and constructs a deep neural network model for cognitive level automatic evaluation of online learning, so as to better carry out process evaluation of online learning. The attention mechanism is used for capturing different contribution degrees of each word in the interactive text to the cognitive level evaluation result, and the words with the large contribution degrees are endowed with higher weights, so that a better model evaluation effect is achieved. The invention has the technical effects that compared with a traditional method, text data generated in the learning process can be fully utilized, a