Posts made by Christopher Teplovs
It has been proposed that educational data mining methods are often different from standard data mining methods, due to the need to explicitly account for (and the opportunities to exploit) the multi-level hierarchy and non-independence in educational data [Baker in press].
which I agree is confusing. So I searched for the forward reference (Baker, in press) and found the following:
Educational data mining methods often differ from methods from the broader data mining
literature, in explicitly exploiting the multiple levels of meaningful hierarchy in educational data.
Methods from the psychometrics literature are often integrated with methods from the machine
learning and data mining literatures to achieve this goal.
For example, in mining data about how students choose to use educational software, it may be
worthwhile to simultaneously consider data at the keystroke level, answer level, session level,
student level, classroom level, and school level. Issues of time, sequence, and context also play
important roles in the study of educational data.
(via a preprint of his chapter)
Ah, the joys of sorting out semantics in a multi-disciplinary field ;)
We have a long history of using analytics: our "ATK" (Analytic ToolKit) has been used for over a decade and provides a variety of reports. Please see http://ikit.org/atk/ for an overview.
We have also developed a series of "assessment applets" for Knowledge Forum that use those stored data and present them to the users. See http://analysis.ikit.org/w/index.php/Assessment_Applets for details about those.
The upshot of all this is that we find that feeding the results from the analytics back into the course really changes the dynamics. We've called this "concurrent, embedded and transformative assessment" in the literature about Knowledge Building.
You did say to dream ;)