'Using Temporal Analytics to Detect Inconsistencies Between Learning Design and Student Engagement'

Learning analytics has the potential to make the temporal dimensions of learning processes more visible using fine-grained proxies of how and when students engage with online learning activities. In this talk, Quan Nguyen will demonstrate the extent to which students actually follow the course timeline and the subsequent effect on their academic performance. He will also discuss some on-going work and future research directions, such as the role of learning analytics in addressing the attainment gap of ethnic minority students, and outlier detection for time-on-task estimation.

Lunch will be provided, so please RSVP so that we can get accurate numbers. The talk will also be streamed (https://zoom.us/j/660818278) if you cannot attend in person, but we ask that you still RSVP.