Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …

In online learning, personalized course recommendations that align with learners'
preferences and future needs are essential. Thus, the development of efficient recommender …

Knowledge tracing (KT), aiming to mine students' mastery of knowledge by their exercise
records and predict their performance on future test questions, is a critical task in …

Session-aware knowledge tracing tries to predict learners' performance, by splitting learners'
sequences into sessions and modeling their learning within and between sessions …

Due to its inherent flexibility and adaptability, e-learning has become a versatile and
effective educational option, with video-based learning (VBL) enabling asynchronous …

Cognitive Diagnosis (CD) algorithms receive growing research interest in intelligent
education. Typically, these CD algorithms assist students by inferring their abilities (ie, their …

As intelligent education evolves, it will provide students with multiple personalized learning
services based on their individual abilities. Computerized adaptive testing (CAT) is designed …

Large Language Models (LLMs) have not only exhibited exceptional performance across
various tasks, but also demonstrated sparks of intelligence. Recent studies have focused on …

Personalized exercise question recommendation is a crucial aspect of smart education used
to customize educational exercises and questions to individual students' distinct abilities and …