Humans' ability to transfer knowledge through teaching is one of the essential aspects for
human intelligence. A human teacher can track the knowledge of students to customize the …

Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

Computerized adaptive testing (CAT), as a tool that can efficiently measure student's ability,
has been widely used in various standardized tests (eg, GMAT and GRE). The adaptivity of …

Large language models (LLMs), like ChatGPT, have shown some human-like cognitive
abilities. For comparing these abilities of different models, several benchmarks (ie sets of …

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 …

Cognitive Diagnosis Modeling aims to infer students' proficiency level on knowledge
concepts from their response logs. Existing methods typically model students' response …

Diagnosing the knowledge mastery level of students on required concepts and providing
tailored exercises to them is an essential task in e-learning environments. Due to the …

Knowledge tracing (KT), the task of tracking the knowledge state of a student over time, has
been assessed actively by artificial intelligence researchers. Recent reports have described …

Cognitive diagnosis models (CDMs) are designed to learn students' mastery levels using
their response logs. CDMs play a fundamental role in online education systems since they …

The fundamental task of intelligent educational systems is to offer adaptive learning services
to students, such as exercise recommendations and computerized adaptive testing …