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 …

Cognitive diagnosis is a fundamental task to assist personalized learning in education, and
aims to discover learners' proficiency in knowledge concepts. Because cognitive diagnosis …

Prediction of undergraduate grades before their course enrollments is beneficial to the
student's learning plan on selective courses and failure warnings to compulsory courses in …

Current near-field millimeter-wave (MMW) imaging techniques are primarily designed for
high-precision quantitative data. Nevertheless, high-precision sampling leads to challenges …

Featured Application As students are usually characterized by more than one learning style,
multi-label classification methods may be applied for the diagnosis of a composite students' …

The spouting development of Massive Open Online Courses (MOOC) has enabled any
learner to obtain abundant resource anytime and anywhere, offered a large-scale and open …

Learning-outcome prediction (LOP) is a longstanding and critical problem in educational
routes. Many studies have contributed to developing effective models while often suffering …

Quiz question annotation aims to assign the most relevant knowledge point to a question,
which is a key technology to support intelligent education applications. However, the …

Abstract Knowledge tracing (KT) aims to predict student performance on the next question
according to historical records. Recently deep learning-based models for KT task …

Across intelligent education, knowledge tracing (KT) is a fundamental problem in realizing
personalized education. Recently, several approaches using Recurrent Neural Networks …