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Yoav Bergner

Assistant Professor of Learning Sciences/Educational Technology

Administration, Leadership, and Technology

212-998-5453

Yoav Bergner is an Assistant Professor of Learning Sciences and Educational Technology. He earned an A.B. in physics from Harvard University and a Ph.D. in theoretical physics from the Massachusetts Institute of Technology.

Yoav's research bridges psychometrics and learning sciences in pursuit of analysis methods that inform educational design. He is particularly interested in the assessment of learning in Makerspaces and Fablabs, in data literacy curriculum design (with dancers!), and in collaborative problem solving. He co-developed CPSX, an extension for real-time small-group discussion using the Open edX learning management system. His work has been presented at meetings of the International Educational Data Mining Society (EDM), Learning Analytics and Knowledge (LAK), and the International Meeting of the Psychometric Society (IMPS).

Prior to joining NYU, Yoav was a Research Scientist at Educational Testing Service. His post-doctoral path involved five years as a sculptor and a furniture-maker, followed by three years as a teacher in a public early college high school, where he taught science, mathematics, industrial arts, and philosophy of science. Interest in educational data and measurement brought him back to MIT as a research associate in 2011 to work on student modeling in online learning environments, including massive open online courses (MOOCs). From 2013-2016, Yoav was a MacArthur/ETS Edmund W. Gordon Fellow for 21st Century Learning and Assessment.

Courses

Educational Data Science Practicum

Course #
APSTA-GE 2017
Units
Department
Applied Statistics, Social Science, and Humanities

Foundations of Cognitive Sciences

Introduction to cognitive science applied to teaching, learning, & the design of instructional media. Readings include developments in cognitive science & descriptions & analysis of instructional programs developed in a cognitive science framework. The design & implementation of cognitive learning & teaching strategies are examined through class demonstrations, discussions, on line activities, readings & projects. E-mail, World Wide Web, mailing lists, newsgroups, & other Internet applications are used to build a framework for network based learning & teaching.
Course #
EDCT-GE 2174
Units
3
Department
Administration, Leadership, and Technology

Stats Analysis of Networks

Course #
APSTA-GE 2014
Units
Department
Applied Statistics, Social Science, and Humanities