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HHSKT: A learner–question interactions based heterogeneous graph neural network model for knowledge tracing
Abstract Knowledge tracing (KT) has evolved into a crucial component of the online
education system with the rapid development of online adaptive learning. A key component …
education system with the rapid development of online adaptive learning. A key component …
FDKT: Towards an interpretable deep knowledge tracing via fuzzy reasoning
In educational data mining, knowledge tracing (KT) aims to model learning performance
based on student knowledge mastery. Deep-learning-based KT models perform remarkably …
based on student knowledge mastery. Deep-learning-based KT models perform remarkably …
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 …
Meta multi-agent exercise recommendation: A game application perspective
Exercise recommendation is a fundamental and important task in the E-learning system,
facilitating students' personalized learning. Most existing exercise recommendation …
facilitating students' personalized learning. Most existing exercise recommendation …
Student modeling and analysis in adaptive instructional systems
There is a growing interest in develo** and implementing adaptive instructional systems
to improve, automate, and personalize student education. A necessary part of any such …
to improve, automate, and personalize student education. A necessary part of any such …
A literature review of knowledge tracing for student modeling: research trends, models, datasets, and challenges
Modeling students' knowledge is a fundamental part of online learning platforms.
Knowledge tracing is an application of student modeling which renowned for its ability to …
Knowledge tracing is an application of student modeling which renowned for its ability to …
Cognitive diagnostic model made more practical by genetic algorithm
Cognitive diagnosis has attracted increasing attention owing to the flourishing development
of online education. As one of the most widely used cognitive diagnostic models, DINA …
of online education. As one of the most widely used cognitive diagnostic models, DINA …
A probabilistic generative model for tracking multi-knowledge concept mastery probability
Abstract Knowledge tracing aims to track students' knowledge status over time to predict
students' future performance accurately. In a real environment, teachers expect knowledge …
students' future performance accurately. In a real environment, teachers expect knowledge …
Twenty-five years of Bayesian knowledge tracing: a systematic review
The quality of an artificial intelligence-based tutoring system is its ability to observe and
interpret student behaviour to infer the preferences and needs of an individual student. The …
interpret student behaviour to infer the preferences and needs of an individual student. The …
SPAKT: A self-supervised pre-training method for knowledge tracing
Knowledge tracing (KT) is the core task of computer-aided education systems, and it aims at
predicting whether a student can answer the next exercise (ie, question) correctly based on …
predicting whether a student can answer the next exercise (ie, question) correctly based on …