The recent surge in generative AI technologies, such as large language models and
diffusion models, have boosted the development of AI applications in various domains …

Extracting and formally representing the knowledge embedded in textbooks, such as the
concepts explained and the relations between them, can support the provision of advanced …

With the widespread adoption of personalized recommendation systems, traditional
methods continue to face significant challenges in areas such as recommendation accuracy …

Concept prerequisite learning (CPL) plays a crucial role in education. The objective of CPL
is to predict prerequisite relations between different concepts. In this paper, we present a …

Prerequisite relations (PR) are fundamental in knowledge acquisition and the applications of
Artificial Intelligence to distance learning, particularly with regard to personalized learning …

Abstract Concept prerequisite relation refers to the learning order of concepts, which is
useful in education. Concept prerequisite learning refers to using machine learning methods …

Relation extraction is an important task in natural language processing. In recent years,
researchers have gradually discovered that relation extraction can be used for teaching and …

The concept prerequisite learning task is a crucial study in smart education and plays an
important role in online course design, course guidance, and learning material …