PIs: Neil Heffernan
Worcester Polytechnic Institute
This award will support 10 doctoral students from the United States to attend the 11th Educational Data Mining (EDM) conference. Scheduled events include keynote talks by world-renowned researchers, full and short oral presentations, poster presentations, workshops, tutorials, interactive events, and the Doctoral Consortium (DC). The DC will include oral presentations and poster sessions in which students present their work. These sessions will be specially scheduled to prevent competition with other conference events and maximize attention by seasoned researchers. Students will be paired up with senior members of the EDM community who serve as mentors during the conference.
The EDM conference promotes scientific research in the interdisciplinary field of educational data mining, which is concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students and the settings in which they learn. EDM is the convergence of computer science disciplinary research in databases and data mining and learning science. EDM research activities are aimed at applying data mining to analyze data generated by various information systems that support learning or education (in schools, colleges, universities, and other academic or professional learning institutions and informal learning).