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 “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 …

High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …

The objective of personalized learning is to design an effective knowledge acquisition track
that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet …

We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing
model that separately processes exercise information and student response information …

There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics
(FATE) of educational interventions supported by the use of Artificial Intelligence (AI) …

Knowledge tracing is the task of understanding student's knowledge acquisition processes
by estimating whether to solve the next question correctly or not. Most deep learning-based …

Abstract Knowledge tracing (KT) is a crucial technique to predict students' future
performance by observing their historical learning processes. Due to the powerful …