[HTML][HTML] A systematic literature review of student'performance prediction using machine learning techniques
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …
contributing state-of-the-art methods, techniques, and applications. The recent development …
Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
[HTML][HTML] Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization
Student dropout is a serious problem globally. It affects not only the individual who drops out
but also the former school, family, and society in general. With the current development of …
but also the former school, family, and society in general. With the current development of …
Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: Issues and challenges
Analyzing multimodal multichannel data about self-regulated learning (SRL) obtained
during the use of advanced learning technologies such as intelligent tutoring systems …
during the use of advanced learning technologies such as intelligent tutoring systems …
Students' LMS interaction patterns and their relationship with achievement: A case study in higher education
Abstract The use of Learning Management Systems has grown exponentially in the last
several years and has come to have a strong effect on the teaching-learning process …
several years and has come to have a strong effect on the teaching-learning process …
Educational data mining applications and tasks: A survey of the last 10 years
B Bakhshinategh, OR Zaiane, S ElAtia… - Education and …, 2018 - Springer
Abstract Educational Data Mining (EDM) is the field of using data mining techniques in
educational environments. There exist various methods and applications in EDM which can …
educational environments. There exist various methods and applications in EDM which can …
A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms
K Colchester, H Hagras, D Alghazzawi… - Journal of Artificial …, 2017 - sciendo.com
The adaptive educational systems within e-learning platforms are built in response to the
fact that the learning process is different for each and every learner. In order to provide …
fact that the learning process is different for each and every learner. In order to provide …
A systematic review of deep learning approaches to educational data mining
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 …
mining, machine learning, and statistical methods to detect patterns in large collections of …
Data mining in education
Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with developing methods for …
known as educational data mining (EDM). It is concerned with developing methods for …
Educational data mining: A survey and a data mining-based analysis of recent works
A Peña-Ayala - Expert systems with applications, 2014 - Elsevier
This review pursues a twofold goal, the first is to preserve and enhance the chronicles of
recent educational data mining (EDM) advances development; the second is to organize …
recent educational data mining (EDM) advances development; the second is to organize …