There are many
sectors in which data mining can be applied, such as identifying buying habits
in retail (BCS, 2002 p.30) and detecting fraud in the finance sector (Thiruvadi
and Patel, 2011 p.710). Educational data
mining is an area of data mining that specifically focuses on the development
of data mining with the unique data that comes from education (Baker, 2011).
Describing a model
that looks at learner results Ayesha et al (2010 p.26) identifies the action
that would be taken.
“the
proposed model identifies the weak students before the final exam in order to
save them from serious harm. Teachers
can take appropriate steps at right time to improve the performance of the
student in final exam”
McGee (2008) talks
about an implementation of an EDM model and its success.
“it
used the trajectory analysis to identify 60 students at risk of failing state standardized
test, and teachers developed plans to address their needs. Only 10 ended up doing poorly”
this post has meticulously been ripped of it's contents leaving very little for a reader to imagine what the author is trying to say!
ReplyDeleteAnd since, you have cited some researcher's work i wonder why have you not referenced them?
Ashish thanks for the feedback. Just to clarify the article is referenced (the bits in brackets) and the it was from a literature review, hence just pulling out information that was already out there.
ReplyDelete