Progressive knowledge tracing: Modeling learning process from abstract to concrete
Artificial intelligence has the potential to revolutionize education by providing personalized
learning experiences that support the dream of “teaching students according to their …
learning experiences that support the dream of “teaching students according to their …
Learning consistent representations with temporal and causal enhancement for knowledge tracing
Abstract Knowledge tracing is a crucial component of intelligent educational systems and
deep learning technologies have significantly propelled its advancement. However, most …
deep learning technologies have significantly propelled its advancement. However, most …
Intelligent machines as information and communication technology and their influence on sustainable marketing practices for beneficial impact on business …
Intelligent machines are the machines or devices that make use of artificial intelligence and
robotics technologies. It has the ability to accomplish a specific task in the presence of …
robotics technologies. It has the ability to accomplish a specific task in the presence of …
Heterogeneous graph-based knowledge tracing with spatiotemporal evolution
H Yang, S Hu, J Geng, T Huang, J Hu, H Zhang… - Expert Systems with …, 2024 - Elsevier
Abstract Knowledge tracing (KT), in which the future performance of students is estimated by
tracing their knowledge states based on their responses to exercises, is widely applied in …
tracing their knowledge states based on their responses to exercises, is widely applied in …
Knowledge tracing via multiple-state diffusion representation
K Zhang, T Ji, H Zhang - Expert Systems with Applications, 2024 - Elsevier
Abstract Knowledge tracing aims to supervise students' gras** of concepts, inferring their
knowledge states, and predicting their future performance. Current research predominantly …
knowledge states, and predicting their future performance. Current research predominantly …
Fusing hybrid attentive network with self-supervised dual-channel heterogeneous graph for knowledge tracing
Recently the large-scale influence of Covid-19 promoted the fast development of intelligent
tutoring systems (ITS). As a major task of ITS, Knowledge Tracing (KT) aims to capture a …
tutoring systems (ITS). As a major task of ITS, Knowledge Tracing (KT) aims to capture a …
Explore Bayesian analysis in Cognitive-aware Key–Value Memory Networks for knowledge tracing in online learning
Abstract Knowledge Tracing is a crucial aspect of personalized learning that aims to track
the evolving knowledge states of students with respect to one or more concepts. However …
the evolving knowledge states of students with respect to one or more concepts. However …
Target hierarchy-guided knowledge tracing: Fine-grained knowledge state modeling
Abstract Knowledge Tracing (KT) focuses on modeling the exercise process of students,
assessing their knowledge state changes during the exercise process, and further providing …
assessing their knowledge state changes during the exercise process, and further providing …
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems
Graph embedding (GE) aims to acquire low-dimensional node representations while
maintaining the graph's structural and semantic attributes. Intelligent tutoring systems (ITS) …
maintaining the graph's structural and semantic attributes. Intelligent tutoring systems (ITS) …
csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention
Abstract Knowledge tracing (KT) is the task of predicting students' future performances
based on their past interactions in online learning systems. When new students enter the …
based on their past interactions in online learning systems. When new students enter the …