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 …

Educational data mining is an emerging discipline, concerned with develo** methods for
exploring the unique types of data that come from the educational context. This work is a …

With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …

Artificial intelligence (AI) provides opportunities to improve the effectiveness of e‐learning by
increasing students' engagement. Adaptive e‐learning uses AI to support individual learners …

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 …

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 …

Recommender system can be defined as a platform for providing recommendations to users
based on their personal likes and dislikes. These systems use a specific type of information …

The paper suggests the implementation of association analysis for improving the process of
e‐testing in blended learning environment. The research has been conducted using …

In this chapter we analyze the application of association rule mining for assessing student
academic results and extracting recommendations for the improvement of course content …

Learning management systems (LMSs) can offer a great variety of channels and
workspaces to facilitate information sharing and communication among participants in a …