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Undergraduate Research in Educational Data Mining

By Jessica

Undergraduate students can  participate in a paid data science research internship next Summer at George Mason University.


Project Description
The primary goal of this interdisciplinary REU Site program is to expose ten high quality undergraduate students to advanced topics in analytics, data mining, and visualization techniques as applied to data from the education domain. Students will participate in projects with the central theme of improving instructional technology design, enhancing academic curricula and modeling learning experiences. From an analytical methodology standpoint, projects will investigate approaches to model the dynamic knowledge state of a student/learner in different settings

Please see below for more information:
  • PI: Dr. Huzefa Rangwala
  • Co-PI: Dr. Mark Snyder

Field of research: Computer Science; Sub-Field: Educational Data Mining, Machine Learning,  Visualization, Augmented and Virtual Reality, Learning Technologies 
Point of contact: Dr. Mark Snyder, 703-993-5624, msnyde14@gmu.edu

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