The ability to predict a student's performance could be useful in a great number of different
ways associated with university-level distance learning. Students' marks in a few written …

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 …

In order to make renewable fuels and chemicals from microbes, new methods are required
to engineer microbes more intelligently. Computational approaches, to engineer strains for …

Open educational resources (OER) are digitised material freely available to the students and
self learners. Many institutions had initiated in incorporating these OERs in their higher …

Example based machine translation is one of the approaches in machine translation. The
concept uses the corpus of two languages and then translates the input text to desired target …

Clustering also called unsupervised learning algorithm & Association rule algorithm are the
data mining techniques which can be used to discover rules & patterns from data. Course …

As the world around is going through a technological revolution with the dawn of digital age,
educationists are in some ways compelled to rethink the existing education system and its …

A large body of literature has been published regarding E-learning and improving students'
performance through the use of specialised advising systems. However, much less research …

Classification rule learning which involves finding rules that partition given data into
predefined classes. In the data mining domain where millions of records and a large number …

The scope of this study was to discover the association between facial expressions of
students in an academic lecture and the level of comprehension shown by their expressions …