Data-Driven Education

Goals

This team focuses on the effects that data are having in shaping education, on how new, rich educational data sources can be used to improve content, instruction and learning. Specifically, we look to the vast array of data that can be collected around educational opportunities at Georgia Tech and how those data shape educational practice.

Issues Involved or Addressed

Georgia Tech utilizes a variety of digital platforms to foster education, from our learning management systems to Piazza discussion forums to MOOC platforms such as Coursera and edX. These platforms generate myriad data points about the trajectory of learning, ranging from content and video consumption to forum participation to assessments of learning to background characteristics of the learners. However, much of this information goes unused both in terms of research for understanding learners and research for improving instruction.

Methods and Technologies

  • Big data
  • Learning Analytics
  • Educational Research
  • Learning Science
  • Social Statistics
  • Hypothesis Testing

Academic Majors of Interest

  • Computer Engineering
  • Computer Science
  • Computational Media
  • Business Administration
  • Physics
  • Science, Technology, and Culture
  • History and Sociology of Technology and Science

Preferred Interests and Preparation

Meeting Schedule & Location

Time: 

11:15-12:05

Day: 

Wed

Location: 

Klaus 1440

Team Advisors

Sponsor(s)