The postdoctoral scholar will be based in the School of Education at the University of Delaware and working with Dr. Teya Rutherford, but will also work with researchers at North Carolina State University. The project leverages learning analytics and experience sampling methods to understand how student motivation and affect associate with choices in a learning platform, and to design and test nudges toward choices that result in greater learning and progress.
Project management; interfacing with school districts, schools, teachers, and software developer; data cleaning and organization; field visits and observations; supervising graduate student or undergraduate researchers; data analysis; writing manuscripts and preparing presentations.
The ideal candidate will hold a PhD in Educational Psychology, Learning Sciences, Informatics, or Computer Science.
Background knowledge desired:
Educational psychology or learning sciences theories, especially relating to motivation; educational technology implementation and classroom integration; mathematics education. Strong data analysis skills, educational data mining or learning analytics preferred; experience in R and/or Stata; primary data collection; secondary data analysis; supervision; organization; academic writing and presenting.
Applications close: Open until filled