|Title:||Building Smarter Educational Technology|
|Date:||July 6, 2017 (Thursday)|
|Time:||2:00 p.m. - 3:00 p.m.|
|Venue:||Room 121, 1/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
|Speaker:||Prof. Neil HEFFERNAN
Department of Computer Science
Worcester Polytechnic Institute, Worcester, MA
Assistments is a web-based system to provide teachers who give assignments where students get feedback on their assignments. Assistments, as a system, was exposed to a 3 million dollar externally evaluation by SRI.It showed Assistments doubled students' learning ability and closed achievement gaps. I have used this system to conduct 24 different randomized controlled experiment comparing different ways to help students.More recently NSF has funded us to allow external researchers to propose their own students inside Assistments. All experiments have to be pre-registrarted and all data is released openly.I have also done a 40+ educational data mining including applying deep leaning methodologies.Finally I care about smarter ways of applying machine learning to help us detect personalized learning effect (sometime called heterogenous treatment effects).
Neil Heffernan is a professor of computer science at Worcester Polytechnic Institute. He directs the learning Science and Technologies phd program. His work has appeared at the White House in 2016 and In the New York Times.
Enquiries: Ms Ricola Lo at tel 3943 8439
For more information, please refer to http://www.cse.cuhk.edu.hk/seminar.