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DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation
This is known as the \emph{Knowledge Tracing} problem in the literature.
Knowledge Tracing: A Survey
A human teacher can track the knowledge of students to customize the teaching on students needs.
Learning Data Teaching Strategies Via Knowledge Tracing
In this paper, we propose a novel method, called Knowledge Augmented Data Teaching (KADT), which can optimize a data teaching strategy for a student model by tracing its knowledge progress over multiple learning concepts in a learning task.
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing
Further, this model has the capability of learning relationships between latent concepts from a dynamic latent concept graph in light of a student's evolving knowledge states.
Knowledge Tracing with Sequential Key-Value Memory Networks
Although these deep learning models have shown promising results, they have limitations: either lack the ability to go deeper to trace how specific concepts in a knowledge state are mastered by a student, or fail to capture long-term dependencies in an exercise sequence.
