Charles Severance is keynote speaker at LAK15
UMSI associate research professor Charles Severance will be a keynote speaker at the fifth annual Learning Analytics and Knowledge Conference (LAK15), March 16-20 at Marist College in Poughkeepsie, NY. The theme of this year’s conference is “Scaling Up: Big Data to Big Impact.”
Severance’s keynote speech is “The Trials and Tribulations of Predicting the Future for Learning Technology.” He will look at classic predictions about learning technology from the past and compare those predictions to what actually happened. From that perspective, he will look at some recent predictions about the future of learning technology and make some new ones.
UMSI research professor Stephanie Teasley received an $18,280 grant from the National Science Foundation to host a doctoral consortium at the conference. The one-day consortium provides participants from around the world with an opportunity to share details about their dissertation research, and receive feedback on current and future research directions from peers and mentors in multiple learning analytics core disciplines.
The faculty team participating with Teasley in the consortium—co-PI Daniel Suthers (University of Hawaii), Katherine Maillet (Institut Telecom Sudparis, France) and Simon Buckingham Shum (University of Technology, Sydney)—is made up of leading researchers in the learning analytics field whose own career trajectories allow them to empathize and relate to young scholars. Teasley also led the Learning Analytics Conference’s first doctoral consortium, held at the 2014 conference.
A number of other UMSI researchers have had papers accepted by the conference. UMSI names are bolded.
“A Time Series Interaction Analysis Method for Building Predictive Models of Learners using Log Data” - Christopher Brooks, Craig Thompson and Stephanie Teasley
“Reducing Selection Bias in Quasi-Experimental Educational Studies” - Christopher Brooks, Omar Chavez, Jared Tritz and Stephanie Teasley
The conference is organized by the Society for Learning Analytics Research (SoLAR), an inter-disciplinary network of leading international researchers exploring the role and impact of analytics on teaching, learning, training and development.