Disengagement detection in online learning environments

A data mining approach was used to detect disengagement; relevant features for disengagement detection were identified that are typically logged by most online learning environments. The approach was used for 2 systems and the results indicated the generalisability of the approach by validating the disengagement detection in different contexts.

Identification of relevant interaction features for detecting disengagement in online learning environments through the use of data mining- the approach was validated in 2 different systems, thus indicating the generalisability of the approach