Oct 18, 2020 · This paper introduces the idea of personalized learning to improve DLKT, and proposes the Adaptive Deep Knowledge Tracing (ADKT) framework. The ...

Oct 20, 2020 · Abstract. Deep Learning based Knowledge Tracing (DLKT) has been shown to outperform other methods due to its strong representational ability.

This work proposes a novel framework, called Adaptive Deep Knowledge Tracing (ADKT), to directly introduce personalization into DLKT, and empirically shows ...

To tackle this problem, we proposes a novel framework, called Adaptive Deep Knowledge Tracing (ADKT), to directly introduce personalization into DLKT. The ADKT ...

d Baker, R.S.J., Corbett, A.T., Aleven, V.: More accurate student modeling through contextual estimation of slip and guess probabilities in Bayesian knowledge ...

To tackle this problem, we proposes a novel framework, called Adaptive Deep Knowledge Tracing (ADKT), to directly introduce personalization into DLKT. The ADKT ...

Get details about the chapter of ADKT: Adaptive Deep Knowledge Tracing from book Web Information Systems Engineering – WISE 2020: 21st International ...

Knowledge Tracing (KT) refers to the problem of predicting learners' future potential performance given their past learning history in e-learning.

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This paper proposes Multi-task Attentive Knowledge Tracing (MAKT) that jointly learns hint-taking and attempt-making predictions simultaneously with response ...