AERA Satellite Conference to Examine Educational Data Science
>
AERA Satellite Conference to Examine Educational Data Science
 
Print

September 2019

AERA is holding a Satellite Conference on Educational Data Science at Stanford University on April 22–23, 2020. The aim of the conference is to engage experienced and emerging scholars in applying data sciences approaches to research problems of significance in education and learning from early education through workforce development.

The conference—cosponsored by AERA, ETS, the Stanford Graduate School of Education, and the Stanford Institute for Research in the Social Sciences—will immediately follow the AERA Annual Meeting in San Francisco (April 17–21). It is being co-organized by Daniel McFarland (Stanford University), Ben Domingue (Stanford University), Zachary Pardos (University of California, Berkeley), Joanna Gorin (ETS), and Felice J. Levine (AERA).

The organizers seek participation from across fields and disciplines interested in connecting data science to education research, including from education research, other fields of social science, engineering, information science, and statistics, among others. This initiative complements a new AERA Open Special Topic Call for Papers on Educational Data Science. (See related story “Educational Data Science to Be Featured in AERA Open Special Topic”) Papers accepted at the conference can be submitted for possible consideration in AERA Open

“Data science is increasingly applied to the field of education and to educational problems, and domain experts like education researchers need to have a strong voice and role in how those applications unfold and develop,” said McFarland. “We’re excited to work with AERA to facilitate such interdisciplinary relationships and dialogues with data science.”

“We are so pleased to be joining this effort to consider new ways of thinking about and using data in all of its new forms,” said Levine. “Conferences like this one—aiming to span fields and career stages—can help bring new ideas critically to the fore. Such activities are at the heart of stimulating new research and advancing knowledge, whatever the mode of inquiry or method of analysis.”

The deadline for papers for the conference is December 16, 2019. For further information on the conference and the conference call, please see https://iriss.stanford.edu/css/conferences/2020-educational-data-science-conference

 
Designed by Weber-Shandwick   Powered by eNOAH