Exploiting student intervention system using data mining

Oussena, Samia, Kim, Hyeonsook and Clark, Tony (2011) Exploiting student intervention system using data mining. In: IMMM 2011, 23-29 October 2011, Barcelona, Spain.

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Abstract

With the proliferation of systems that are put for the
student use, data related to activities undertaken by the
student are on the increasing. However, these vast amounts of
data on student and courses are not integrated and could
therefore not easily queried or mined. Therefore, relatively
little data is turned into knowledge that can be used by the
institution learning. In the work presented here, different data
sources such as student record system, virtual learning system
are integrated and analysed with the intention of linking
behaviour pattern to academic histories and other recorded
information. These patterns built into data mining models can
then be used to predict individual performance with high
accuracy. The question addressed in the paper is: how can
indicators of problems related to student retention produced
by data mining be presented in a way that will be effective. A
prototype system that integrates data mining with an
intervention system based on game metaphor has been build
and piloted in the computing school. Early evaluations of the
system have shown that it has been well received at all levels of
the institution and by the students.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 21 Feb 2014 16:35
Last Modified: 09 Aug 2016 14:59
URI: http://repository.uwl.ac.uk/id/eprint/715

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