Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
Educational data mining: A survey from 1995 to 2005
Currently there is an increasing interest in data mining and educational systems, making
educational data mining as a new growing research community. This paper surveys the …
educational data mining as a new growing research community. This paper surveys the …
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for
exploring the unique types of data that come from the educational context. This work is a …
exploring the unique types of data that come from the educational context. This work is a …
Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions
A Klašnja-Milićević, M Ivanović… - Artificial Intelligence …, 2015 - Springer
With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …
becoming an important feature in e-learning systems due to the differences in background …
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
Nowadays we find more and more applications for data mining techniques in e-learning and
web-based adaptive educational systems. The useful information discovered can be used …
web-based adaptive educational systems. The useful information discovered can be used …
A survey on educational data mining and research trends
R Jindal, MD Borah - International Journal of Database …, 2013 - search.proquest.com
Abstract Educational Data Mining (EDM) is an emerging field exploring data in educational
context by applying different Data Mining (DM) techniques/tools. It provides intrinsic …
context by applying different Data Mining (DM) techniques/tools. It provides intrinsic …
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data
This work describes the application of subgroup discovery using evolutionary algorithms to
the usage data of the Moodle course management system, a case study of the University of …
the usage data of the Moodle course management system, a case study of the University of …
[PDF][PDF] Drawbacks and solutions of applying association rule mining in learning management systems
Drawbacks and solutions of applying association rule mining in learning management systems
Page 1 Drawbacks and solutions of applying association rule mining in learning management …
Page 1 Drawbacks and solutions of applying association rule mining in learning management …
An evolutionary algorithm for the discovery of rare class association rules in learning management systems
Association rule mining, an important data mining technique, has been widely focused on
the extraction of frequent patterns. Nevertheless, in some application domains it is …
the extraction of frequent patterns. Nevertheless, in some application domains it is …
Predicting students' academic performances–A learning analytics approach using multiple linear regression
OD Oyerinde, PA Chia - 2017 - dspace.unijos.edu.ng
Learning Analytics is an area of Information Systems research that integrates data analytics
and data mining techniques with the aim of enhancing knowledge management and …
and data mining techniques with the aim of enhancing knowledge management and …