Self-supervised heterogeneous hypergraph network for knowledge tracing
Recently online intelligent education has caught more and more attention, especially due to
the global influence of Covid-19. A major task of intelligent education is Knowledge Tracing …
the global influence of Covid-19. A major task of intelligent education is Knowledge Tracing …
Calibrated q-matrix-enhanced deep knowledge tracing with relational attention mechanism
L Li, Z Wang - Applied Sciences, 2023 - mdpi.com
With the development of online educational platforms, numerous research works have
focused on the knowledge tracing task, which relates to the problem of diagnosing the …
focused on the knowledge tracing task, which relates to the problem of diagnosing the …
Exploiting multiple question factors for knowledge tracing
Y Zhao, H Ma, W Wang, W Gao, F Yang, X He - Expert Systems with …, 2023 - Elsevier
Abstract Knowledge Tracing (KT) aims to predict future students' performance via their
responses to a sequence of questions, which serves as a fundamental task for intelligent …
responses to a sequence of questions, which serves as a fundamental task for intelligent …
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' grasping of concepts, inferring their
knowledge states, and predicting their future performance. Current research predominantly …
knowledge states, and predicting their future performance. Current research predominantly …
A deep cross-modal neural cognitive diagnosis framework for modeling student performance
In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective
The primary objective of knowledge tracing (KT) is to trace learners' changing knowledge
states and predict their future performance by analyzing their learning trajectories. One of …
states and predict their future performance by analyzing their learning trajectories. One of …
Pre-training question embeddings for improving knowledge tracing with self-supervised bi-graph co-contrastive learning
Learning high-quality vector representations (aka. embeddings) of educational questions
lies at the core of knowledge tracing (KT), which defines a task of estimating students' …
lies at the core of knowledge tracing (KT), which defines a task of estimating students' …
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 …
Multiple learning features–enhanced knowledge tracing based on learner–resource response channels
Knowledge tracing is a crucial task that involves modeling learners' knowledge levels and
predicting their future learning performance. However, traditional deep knowledge tracing …
predicting their future learning performance. However, traditional deep knowledge tracing …
Question-response representation with dual-level contrastive learning for improving knowledge tracing
Y Zhao, H Ma, J Wang, X He, L Chang - Information Sciences, 2024 - Elsevier
Question-response representation (aka. embedding) lies at the core for knowledge tracing,
which is pivotal to model students' evolving knowledge states for predicting their future …
which is pivotal to model students' evolving knowledge states for predicting their future …