Difference between revisions of "User: Myudelson"
(→Michael V. Yudelson) |
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= Michael V. Yudelson = | = Michael V. Yudelson = | ||
| − | Ph.D. | + | Ph.D. Project Scientist |
[[Image:Michael_V_Yudelson.gif| left]] | [[Image:Michael_V_Yudelson.gif| left]] | ||
| − | Carnegie | + | Human-Computer Interaction Institute<br/> |
| − | + | Carnegie Mellon University<br/> | |
| + | 5000 Forbes Ave.<br/> | ||
| + | Newell-Simon Hall, rm. 2602C<br/> | ||
Pittsburgh, PA, 15219 USA<br/> | Pittsburgh, PA, 15219 USA<br/> | ||
Tel: +1 (412) 690-2442 x222<br/> | Tel: +1 (412) 690-2442 x222<br/> | ||
| − | Web: | + | Web: http://yudelson.info/ |
| − | Mikhail (Michael) Yudelson, IS Ph.D. graduated in 2010, is a Research Scientist at Carnegie Learning, Inc. | + | Mikhail (Michael) Yudelson, IS Ph.D. graduated in 2010, is a Project Scientist at Human-Computer Interaction Institute, Carnegie Mellon University since early 2016. Before that, from 2013 to 2016 he was a Research Scientist at Carnegie Learning, Inc. After graduating from the University of Pittsburgh in 2010 and till 2013, he was a post-doctoral fellow at Human-Computer Interaction Institute and Pittsburgh Science of Learning Center of Carnegie Mellon University. Michael works on the issues of cognitive student modeling, knowledge transfer, and scalable building of hierarchical linear models and hidden Markov models. At Carnegie Learning, Michael worked on the issues of Big Data analytics and data-driven optimization of the intelligent tutoring systems such as Cognitive Tutor Algebra. |
== Projects == | == Projects == | ||
Revision as of 19:32, 28 March 2016
Michael V. Yudelson
Ph.D. Project Scientist
Human-Computer Interaction Institute
Carnegie Mellon University
5000 Forbes Ave.
Newell-Simon Hall, rm. 2602C
Pittsburgh, PA, 15219 USA
Tel: +1 (412) 690-2442 x222
Web: http://yudelson.info/
Mikhail (Michael) Yudelson, IS Ph.D. graduated in 2010, is a Project Scientist at Human-Computer Interaction Institute, Carnegie Mellon University since early 2016. Before that, from 2013 to 2016 he was a Research Scientist at Carnegie Learning, Inc. After graduating from the University of Pittsburgh in 2010 and till 2013, he was a post-doctoral fellow at Human-Computer Interaction Institute and Pittsburgh Science of Learning Center of Carnegie Mellon University. Michael works on the issues of cognitive student modeling, knowledge transfer, and scalable building of hierarchical linear models and hidden Markov models. At Carnegie Learning, Michael worked on the issues of Big Data analytics and data-driven optimization of the intelligent tutoring systems such as Cognitive Tutor Algebra.
Projects
- Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization
- Supporting Learning from Examples in a Programming Course
