High-quality education is one of the keys to achieving a more sustainable world. In contrast to traditional face-to-face classroom education, online education enables us to record and …
Z Wu, L Huang, Q Huang, C Huang, Y Tang - Expert Systems with …, 2022 - Elsevier
Abstract Knowledge tracing is a modeling method of students' knowledge mastery. The deep knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
S Liu, R Zou, J Sun, K Zhang, L Jiang, D Zhou… - Expert Systems with …, 2021 - Elsevier
Abstract Knowledge Tracing (KT) is a task to acquire students' mastery level of skills based on their performance in learning process. The existing KT models have gradually achieved …
The paper outlines the potential for Artificial Intelligence (AI) to positively impact student success. This will be approached from a student life-cycle perspective, taking an integrated …
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …
A Badrinath, F Wang, Z Pardos - arXiv preprint arXiv:2105.00385, 2021 - arxiv.org
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent …
Y Mao - Journal of educational data mining, 2018 - par.nsf.gov
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide …
F Liu, X Hu, C Bu, K Yu - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Online education promotes the sharing of learning resources. Knowledge tracing (KT) is aimed at tracking the cognition function of students according to their performance on …
J Sun, R Zou, R Liang, L Gao, S Liu, Q Li… - Expert Systems with …, 2022 - Elsevier
Abstract Knowledge Tracing (KT) aims to continuously estimate students' evolving knowledge state during their learning process, which has attracted much research attention …