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 …
With the development of online education systems, a growing number of research works are focusing on Knowledge Tracing (KT), which aims to assess students' changing knowledge …
Abstract Knowledge tracing (KT) is a task that predicts students' future performance based on their historical learning interactions. With the rapid development of deep learning …
X Guo, Z Huang, J Gao, M Shang, M Shu… - Proceedings of the 29th …, 2021 - dl.acm.org
We study the problem of knowledge tracing (KT) where the goal is to trace the students' knowledge mastery over time so as to make predictions on their future performance. Owing …
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interaction sequences. With the advanced capability of capturing contextual …
G Abdelrahman, Q Wang - Proceedings of the 42nd international ACM …, 2019 - dl.acm.org
Can machines trace human knowledge like humans? Knowledge tracing (KT) is a fundamental task in a wide range of applications in education, such as massive open online …
Abstract Knowledge tracing (KT) is the task of using students' historical learning interaction data to model their knowledge mastery over time so as to make predictions on their future …
S Pandey, G Karypis - arXiv preprint arXiv:1907.06837, 2019 - arxiv.org
Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s) he engages with a sequence of learning activities. Each student's knowledge is …
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 …