SEERNet team is proud to support training programs that empower emerging learning scientists, quantitative and mixed methods researchers, and other emerging scholars who seek to master their understanding of and use of data to improve the field of education for all learners.
IES-funded:
- Data Science Methods for Digital Learning Platforms: Prepare to become an education researcher capable of leveraging large-scale data using data science methods, improving education quality with digital learning platforms. Priority Application Deadline: May 15, 2024
- Data Science for Education (DS4EDU): This three-year methods training program will address the current gap in the use of data science methods to produce research-based, data-driven improvements in learning innovations. This program will develop a network of educational technology practitioners who are well positioned to utilize data collected from educational settings to improve learning outcomes through the application of established and emerging data science approaches.
Other opportunities: