Student performance analysis and prediction in classroom learning: A review of educational data mining studies
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 …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
A Charitopoulos, M Rangoussi… - International Journal of …, 2020 - Springer
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 …
methods to answer education-related problems based on the analysis of educational data …
Ekt: Exercise-aware knowledge tracing for student performance prediction
For offering proactive services (eg, personalized exercise recommendation) to the students
in computer supported intelligent education, one of the fundamental tasks is predicting …
in computer supported intelligent education, one of the fundamental tasks is predicting …
A survey of knowledge tracing
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 …
to traditional face-to-face classroom education, online education enables us to record and …
Neural cognitive diagnosis for intelligent education systems
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover
the proficiency level of students on specific knowledge concepts. Existing approaches …
the proficiency level of students on specific knowledge concepts. Existing approaches …
RCD: Relation map driven cognitive diagnosis for intelligent education systems
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 …
aims to discover the mastery levels of students on different knowledge concepts. In general …
Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis
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 …
concepts and traits of test exercises (eg, difficulty). It plays a critical role in intelligent …
NeuralCD: a general framework for cognitive diagnosis
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 …
to be assessed, such as games and clinical measurement. Especially in intelligent …
Educational data mining techniques for student performance prediction: method review and comparison analysis
Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
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 …
before enrolling in a course or taking an exam. This prediction problem is a kernel task …
Hierarchical personalized federated learning for user modeling
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 …
widely applied in numerous applications. Usually, centralized user modeling suffers from the …