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 …

Exercise recommendation is a fundamental and important task in the E-learning system,
facilitating students' personalized learning. Most existing exercise recommendation …

In educational data mining, knowledge tracing (KT) aims to model learning performance
based on student knowledge mastery. Deep-learning-based KT models perform remarkably …

Cognitive Diagnostic Models (CDMs) aim to analyze students' cognitive levels of each
knowledge component (KC) by mining educational data. Existing CDMs can be mainly …

Abstract Knowledge tracing (KT) is a fundamental task in educational data mining that
mainly focuses on students' dynamic cognitive states of skills. The question-answering …

Gradient-based repair aims to repair infeasible solutions to feasible ones using the gradient
information of the constraints. As an effective constraint handling method, gradientbased …

In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention,
which estimates and traces students' mastery of knowledge concepts to provide high-quality …

Parallel testing, which uses different test forms to assess examinees, is a necessary and
important technique in both educational and psychometric assessments. A key but …

It has become an annual tradition for Convolutional Neural Networks (CNNs) to continuously
improve their performance in image classification and other applications. These …