Difference between revisions of "User: Myudelson"

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Mikhail (Michael) Yudelson, IS Ph.D. graduated in 2010, is a Research Scientist at Carnegie Learning, Inc. since 2013 He was a post-doctoral fellow at Human-Computer Interaction Institute and Pittsburgh Science of Learning Center of Carnegie Mellon University from 2010 to 2013 and worked on the issues of cognitive student modeling, knowledge transfer, and scalable building of hierarchical linear models and hidden Markov models. At Carnegie Learning, Michael works on the issues of Big Data analytics and data-driven optimization of the intelligent tutoring systems such as Cognitive Tutor Algebra.
 
Mikhail (Michael) Yudelson, IS Ph.D. graduated in 2010, is a Research Scientist at Carnegie Learning, Inc. since 2013 He was a post-doctoral fellow at Human-Computer Interaction Institute and Pittsburgh Science of Learning Center of Carnegie Mellon University from 2010 to 2013 and worked on the issues of cognitive student modeling, knowledge transfer, and scalable building of hierarchical linear models and hidden Markov models. At Carnegie Learning, Michael works on the issues of Big Data analytics and data-driven optimization of the intelligent tutoring systems such as Cognitive Tutor Algebra.
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== Projects ==
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*[[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]]
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*[[Supporting Learning from Examples in a Programming Course]]
  
 
== Systems ==
 
== Systems ==

Revision as of 00:37, 27 March 2015

Michael V. Yudelson

Ph.D. Research Scientist

Michael V Yudelson.gif

Carnegie Learning Inc.
437 Grant St.
Pittsburgh, PA, 15219 USA
Tel: +1 (412) 690-2442 x222
Web: https://sites.google.com/site/myudelson/home

Mikhail (Michael) Yudelson, IS Ph.D. graduated in 2010, is a Research Scientist at Carnegie Learning, Inc. since 2013 He was a post-doctoral fellow at Human-Computer Interaction Institute and Pittsburgh Science of Learning Center of Carnegie Mellon University from 2010 to 2013 and worked on the issues of cognitive student modeling, knowledge transfer, and scalable building of hierarchical linear models and hidden Markov models. At Carnegie Learning, Michael works on the issues of Big Data analytics and data-driven optimization of the intelligent tutoring systems such as Cognitive Tutor Algebra.

Projects

Systems