The invention discloses an
online learning diagnosis method and device based on
artificial intelligence, and the method comprises the steps of collecting the test paper and homework data of a student through an OCR technology, taking the data as a first
training set, training, and obtaining a first neural
network model; taking the test paper or the homework, the total
score of each corresponding knowledge point and the teaching suggestion as a second
training set, and training to obtain a second neural
network model; obtaining the answer content of the to-be-analyzed test paper or homework through the
handwriting of an electronic pen, inputting the to-be-analyzed test paper or homework into the first neural
network model in combination with the to-be-analyzed test paper or homework, and obtaining the total
score of each knowledge point corresponding to the to-be-analyzed test paper or homework; inputting the total
score of each knowledge point corresponding to the to-be-analyzed test paper or homework into the second neural network model to obtain the teaching suggestions of the to-be-analyzed test paper or homework. According to the present invention, the real mastering condition of students on each knowledge point can be quickly and accurately evaluated, and proper teaching suggestions are given, so that the time and energy of teachers are saved, and the students can be helped to quickly check the leakage and fill the vacancy, and the score is improved.