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 …

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 …

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 …

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 …

Click-through rate (CTR) prediction is a critical task in online display advertising. The data
involved in CTR prediction are typically multi-field categorical data, ie, every feature is …

Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …

We study student performance prediction in Massive Open Online Courses (MOOCs), where
the objective is to predict whether a user will be Correct on First Attempt (CFA) in answering …

Modern online education has the capacity to provide intelligent educational services by
automatically analyzing substantial amounts of student behavioral data. Knowledge Tracing …

The accurate estimation of students' grades in future courses is important as it can inform the
selection of next term's courses and create personalized degree pathways to facilitate …