Spaced repetition, namely, learners review items in a given schedule, has been proven
powerful for memorization and practice of skills. Most current spaced repetition methods …

Spaced repetition is a mnemonic technique where long-term memory can be efficiently
formed by following review schedules. For greater memorization efficiency, spaced …

Optimizing spaced repetition schedules is of great importance for enhancing long-term
memory retention in both real-world applications, eg, online learning platforms, and …

To adapt materials for an individual learner, intelligent tutoring systems must estimate their
knowledge or abilities. Depending on the content taught by the tutor, there have historically …

广域网作为连接新业务, 新基础设施和各类新型应用的纽带, 已成为21 世纪最重要的基础设施之
一. 近年来, 数据量爆炸性增长, 伴随着基于广域网的大模型, 数字经济, 元宇宙和全息社会等新型 …

Memory modeling, aimed at predicting the memory states of learners throughout their
learning process, has become an integral component in online learning systems. This is …

Adaptive spacing algorithms are powerful tools for helping learners manage their study time
efficiently. By personalizing the temporal distribution of retrieval practice of a given piece of …

Spaced repetition is a human learning technique focused on optimizing time intervals
between a student's repetitions of the same information items. It is designed for the most …

Entre acquérir de nouvelles connaissances et revoir les anciennes pour en atténuer l'oubli,
les apprenants peuvent avoir du mal à organiser efficacement leur temps d'apprentissage …

To develop new machine learning methods, it is necessary to evaluate them reliably. This
doctoral thesis discusses some aspects of preparing machine learning challenges and …