The application relates to the technical field of
knowledge base generation, and particularly discloses an education
knowledge base content generation method and
system based on AI
big data. The method comprises the following steps: comparing user answer content with answer information to obtain a matching degree, calibrating positive samples and negative samples to
train an evaluation model, and determining a reference
standard score according to the quantity relationship between the positive samples and the negative samples; based on the reference
standard score and a tolerance threshold, a plurality of candidate knowledge contents are screened to calibrate them as stable knowledge contents or to-be-corrected knowledge contents, and are output. By constructing an
evaluation system based on user real answer data and an evaluation standard reflecting the actual application effect of the
knowledge content, and automatically calibrating the evaluation standard according to the data distribution, objective screening and continuous iteration of the
knowledge content are realized, and the accuracy and reliability of the
knowledge base content are improved.