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The Advantages of Adaptive Learning


Knewton is a leader in adaptive learning, the use of data to continually personalize online learning content to individual students in real-time. Join TC professor Ryan Baker, an expert in educational data mining, along with Knewton's own Matthew Busick, Adaptive Instruction Analyst; David Kuntz, Vice President of Research; Jesse Sternberg, Adaptive Instruction Analyst and Kevin Wilson, Data Scientist as they outline the importance of adaptive learning. See a live demo of Knewton's platform and learn from Knewton's Adaptive Learning team what they are doing to improve student performance. 


Adaptive Learning with Knewton
Hosted by: TC Office of Alumni Relations, the Alumni Council and Knewton
Date:
Tuesday, February 19, 2013
Time: 6:30 p.m. to 8:30 p.m.
Location: Knewton (100 5th Ave at 15th Street)
Cost: $10.00


 

Pre-registration for the event is now closed. Walk-ins are welcome. Join us!    



About the Speakers:

Ryan Baker is Visiting Associate Professor in the Department of Human Development. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University, and was a post-doctoral fellow in the Learning Sciences at the University of Nottingham. He earned his Bachelor's Degree (Sc.B.) in Computer Science from Brown University. He is currently serving as the founding President of the International Educational Data Mining Society, and as Associate Editor of the Journal of Educational Data Mining. His research combines educational data mining, learning analytics and quantitative field observation methods in order to better understand how students respond to educational software, and how these responses impact their learning.

Matthew Busick is an Adaptive Instruction Analyst at Knewton, where he is a knowledge graph expert and academic content curator. He spends much of his time coordinating course development with outside partners. Formerly, he worked on Google’s legal compliance team, helping the FBI track down criminals through Gmail. Matthew holds a B.A. from Yale University.

David Kuntz, the Vice President of Research at Knewton, has been involved in every aspect of the large-scale educational assessment business. Over the span of his 20-year career, he has held senior positions at Educational Testing Service (ETS) and the Law School Admissions Council (LSAC). He also created the first automated test assembly algorithm and system for the current LSAT, the first web-based computer-adaptive test delivery system, the first online AP practice program using real AP graders, and the first large-scale web-based portfolio scoring and management system. He has been awarded five assessment-related patents. David holds a B.A. in Philosophy from Brown, an M.A. in Philosophy from Rutgers, and an MBA from Wharton.

Jesse Sternberg is an Adaptive Instruction Analyst at Knewton, where he creates and edits knowledge graphs and consults with publishers and other partners on content-related issues. Jesse has six years of experience in teaching, tutoring, and curriculum development. He holds a B.A from Oberlin College and an M.S.E from Fordham University.

Kevin Wilson is a Data Scientist at Knewton, where he conducts research in order to continually improve Knewton's real-time student proficiency models. Kevin recently earned his Ph.D. in mathematics from Princeton University, where he focused on number theory and also helped build mentorship programs for undergraduate and graduate students. Previously, Kevin received a B.S. in mathematics from the University of Michigan.


 


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