REU Site: Undergraduate Research in Educational Data Mining
application deadline: February 15th, 2018
PI: Dr. Huzefa Rangwala
Co-PI: Dr. Mark Snyder
Field of research: Computer Science; Sub-Field: Educational Data Mining, Machine Learning, Visualization, Learning Technologies
Point of contact: Dr. Mark Snyder, 703-993-5624, email@example.com
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 throughout a sequential academic program. Projects will also model the learning behavior of younger students in informal settings by analyzing the server logs of the Scratch framework or Online Engineering Communities. Projects will also model the learning habits of practitioners while interacting with online programming environments.