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 …

A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Abstract The goal of Knowledge Tracing (KT) is to estimate how well students have
mastered a concept based on their historical learning of related exercises. The benefit of …

Knowledge tracing (KT) refers to the problem of predicting future learner performance given
their past performance in educational applications. Recent developments in KT using …

Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

Abstract Knowledge Tracing (KT) aims to trace the student's state of evolutionary mastery for
a particular knowledge or concept based on the student's historical learning interactions with …

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts
(KCs) as (s) he engages with a sequence of learning activities. Each student's knowledge is …

We propose a new network architecture, Gated Attention Networks (GaAN), for learning on
graphs. Unlike the traditional multi-head attention mechanism, which equally consumes all …

For offering proactive services (eg, personalized exercise recommendation) to the students
in computer supported intelligent education, one of the fundamental tasks is predicting …

User preferences are usually dynamic in real-world recommender systems, and a user» s
historical behavior records may not be equally important when predicting his/her future …