Monday, 10 July 2017, 9:00 to 4:00
Ateneo de Manila University (Exact room TBA)
ADMISSION IS FREE
Deep Learning with Educational Data
Joseph Beck, Ph.D.
This whole-day lecture focuses on applications of deep learning for educational data. Deep learning is a machine learning approach using neural networks with multiple levels of representational transformation (i.e., hidden layers). Deep learning has been used in a variety of domains over the past five years with impressive results. Recently, it has been used for educational data sets with mixed results when compared to traditional modeling methodologies.
In this lecture, Dr. Beck will provide an introduction to machine learning followed quickly by a discussion of deep learning. He will discuss applications as well as current work.
Joseph Beck, assistant professor of Computer Science, has been at Worcester Polytechnic Institute since 2007. His research focuses on educational data mining, a new discipline that develops techniques for analyzing large educational data sets to make discoveries that will improve teaching and learning. His work centers on estimating how computer tutors impact learning. He established the first workshop in the field and in 2008 was program co-chair of the first International Conference on Educational Data Mining. He holds a BS in mathematics, computer science, and cognitive science from Carnegie Mellon University, and a PhD in computer science from the University of Massachusetts, Amherst.
To register, please sign up here.
