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 …

The growth of online learning, enabled by the availability on the Internet of different forms of
didactic materials such as MOOCs and Intelligent Tutoring Systems (ITS), in turn, increases …

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

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

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 world has transitioned into a new phase of online learning in response to the recent
Covid19 pandemic. Now more than ever, it has become paramount to push the limits of …

Abstract Knowledge tracing, where a machine models the knowledge of a student as they
interact with coursework, is an established and significantly unsolved problem in computer …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

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 one of the key research areas for empowering personalized education.
It is a task to model students' mastery level of a knowledge component (KC) based on their …