Fig 1.
Primary research fields of EDM.
Fig 2.
Knowledge example of cognitive diagnosis.
Fig 3.
Flow of content-based recommendation algorithm.
Fig 4.
Basic architecture of the personalized recommendation system based on DRE algorithm.
Fig 5.
Personalized recommendation method based on the DRE algorithm.
Fig 6.
Structures of Exercise Question Network of Markov.
Fig 7.
Structures of Exercise Question Recurrent Neural Network.
Fig 8.
Average concept coverage analysis results.
Fig 9.
Difficulty analysis results.
Fig 10.
Comparison of accuracy rates of recommended algorithms in math dataset offline experiments (IRT refers to the Item Response Theory algorithm, PMF represents the Probabilistic Matrix Factorization algorithm, FM represents the Factorization Machine algorithm, DKT represents the Deep Knowledge Tracing algorithm, DKVMN represents the Dynamic Key-Value Memory Network, DQN represents the Deep Q Network).
Fig 11.
Comparison of accuracy rates of recommended algorithms in History dataset offline experiments (IRT refers to the Item Response Theory algorithm, PMF represents the Probabilistic Matrix Factorization algorithm, FM represents the Factorization Machine algorithm, DKT represents the Deep Knowledge Tracing algorithm, DKVMN represents the Dynamic Key-Value Memory Network, DQN represents the Deep Q Network).
Fig 12.
Review job flow curves.
Fig 13.
Investigate job flow curves.
Fig 14.
Difficulty benefit comparison.
Fig 15.
Participation benefit comparison.