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 …

Educational Data Mining (EDM) is a research field that focuses on the application of data
mining, machine learning, and statistical methods to detect patterns in large collections of …

It is well known that weight initialization in deep networks can have a dramatic impact on
learning speed. For example, ensuring the mean squared singular value of a network's input …

In online education systems, for offering proactive services to students (eg, personalized
exercise recommendation), a crucial demand is to predict student performance (eg, scores) …

With the development of online education systems, a growing number of research works are
focusing on Knowledge Tracing (KT), which aims to assess students' changing knowledge …

Computer-aided education systems are now seeking to provide each student with
personalized materials based on a student's individual knowledge. To provide suitable …

Intelligent tutoring systems (ITSs) teach skills using learning-by-doing principles and provide
learners with individualized feedback and materials adapted to their level of understanding …

Abstract Knowledge tracing is a sequence prediction problem where the goal is to predict
the outcomes of students over questions as they are interacting with a learning platform. By …

In theoretical cognitive science, there is a tension between highly structured models whose
parameters have a direct psychological interpretation and highly complex, general-purpose …