.png){kind=icon}
Return
Data mining in course management systems:: Moodle case study and tutorial
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compedu.2007.05.016.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 survey of the specific application of data mining in learning management systems and a case study tutorial with the Moodle system. Our objective is to introduce it both theoretically and practically to all users interested in this new research area, and in particular to online instructors and e-learning administrators. We describe the full process for mining e-learning data step by step as well as how to apply the main data mining techniques used, such as statistics, visualization, classification, clustering and association rule mining of Moodle data. We have used free data mining tools so that any user can immediately begin to apply data mining without having to purchase a commercial tool or program a specific personalized tool. (C) 2007 Elsevier Ltd. All rights reserved.
Keywords:
distance education and telelearning
e-learning
evaluation of CAL systems
data mining
web mining
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
C
IF:
10.5
Papers:
5.0K
Citations:
2.9W
Organization
Cited Papers
ShareSaveAortic Insufficiency in a Patient with Reactive Arthritis: Case Report and Review of the Literature
OAAI
OAAIShareSaveShareSaveShareSaveUsing data mining as a strategy for assessing asynchronous discussion forums.png)
COMPUTERS & EDUCATION
COMPUTERS & EDUCATIONIF10.5
PREAI
ShareSave
View more