‘Date Mining’ can be explained as:
Educational data mining uses some of the typical data included in state longitudinal databases, such as test scores and attendance, but researchers often spend more time analyzing the detritus cast off during normal classroom data-collection practices, such as student interactions in a chat log or the length of responses to homework assignments—information that researchers call “data exhaust.”
Education Week explains why there has been a rapid growth of “data mining” in the recent years.
The new and rapidly growing field of educational data mining is using the chaff from data collected through normal school activities to explore learning in more detail than ever before, and researchers say the day when educators can make use of Amazon-like feedback on student learning behaviors may be closer than most people think.
Sarah D. Sparks highlights the first international conference on the subject held in 2008 and the first academic journal launched later that year. ‘Data Mining’ is an important subject to watch because ultimately, this will affect the way that students are tested and taught. In this article you will find several additional studies surrounding student growth, tracking results, academic performance and much more.