An Introduction to Educational Data Mining, what we should know about?

An introduction to educational Data Mining, What do we need to know to start?
It aims to bring the education sector, which yields the biggest volumes of data every day, in the data mining area so that this huge volume of data can be pre-processed to retrieve authentic, useful and actionable information.

What Questions Should We Ask about Educational Data Mining?
The most outraging buzzing question would be the absence of potentially resourceful contributors. Why is it that people who are capable, are averse to this? What are the ways in which the data mining techniques would be useful? There are also questions relating to ways of representing the data and then finally presenting them.

How Might We Get The Information We Might Need?
When a lot of people contribute to educational content, their authenticity is at stake. This content can be labelled as data and not really information. In order to retrieve information, an expert has to parse through all the data, using his own set of skills, and then verify its authenticity. Data mining techniques can explore into data, but they always need expert advice to make the final decisions, especially when the line between data and information is blur.

What Is Missing from the information available for Data Mining?
The awareness among research communities and contributors to only put authentic and useful information corresponding to educational articles, videos etc. is partially missing. There is also an absence of potential resources who can contribute valuable content online.

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We prepared and published this seminar abstract for final year engineering students seminar research. You should do your own research additional to this information before presenting your seminar.
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