Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

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 …

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover
the proficiency level of students on specific knowledge concepts. Existing approaches …

Cognitive diagnosis (CD) aims to reveal the proficiency of students on specific knowledge
concepts and traits of test exercises (eg, difficulty). It plays a critical role in intelligent …

Cognitive diagnosis (CD) is a fundamental issue in intelligent educational settings, which
aims to discover the mastery levels of students on different knowledge concepts. In general …

Cognitive diagnosis is widely applicable in the scenarios where users' cognitive states need
to be assessed, such as games and clinical measurement. Especially in intelligent …

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 …

User modeling aims to capture the latent characteristics of users from their behaviors, and is
widely applied in numerous applications. Usually, centralized user modeling suffers from the …