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Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing
2021
IEEE Transactions on Cybernetics
Knowledge tracing is an important research topic in student modeling. The aim is to model a student's knowledge state by mining a large number of exercise records. The dynamic key-value memory network (DKVMN) proposed for processing knowledge tracing tasks is considered to be superior to other methods. However, through our research, we have noticed that the DKVMN model ignores both the students' behavior features collected by the intelligent tutoring system (ITS) and their learning abilities,
doi:10.1109/tcyb.2021.3051028
pmid:33531331
fatcat:65pvoorio5bdzeoe25nwwlz6pm