Applications open for CTL Data Fellow for Classroom Technologies

CTL seeks a fellow to study the use of classroom pedagogy with technologies, particularly in active learning classrooms at WashU.


The Center for Teaching and Learning advances WashU’s mission of educational excellence by supporting a diverse community of teachers and learners. The center promotes inclusive, evidence-based pedagogy, develops teaching-focused collaborations among campus partners, and strives to create a transformational educational experience inside and outside the classroom. To this end, the CTL plays a central role in facilitating the effective use of classroom technologies and supporting the university in planning for technology initiatives in teaching and learning.


The data fellow for classroom technologies will advance the mission of the CTL by assessing the use of technologies for teaching and learning in WashU classrooms. The fellow will investigate how instructors use classroom technologies across campus analyzing log data from classroom equipment and collecting interview/survey data from instructors on what they use in their classes.

The fellow will work with the Center for Teaching and Learning and other university partners to collect and analyze data. The fellow will take the lead in analyzing trends, developing instruments, and presenting data, with supervision and mentoring from the CTL assistant director for educational technology and lead classroom technology specialist. Findings from this work will be presented to campus leaders with opportunities available to further analyses and lead scholarly publications.


  • Develop interview and survey instruments
  • Use WashU databases and tools to collect and prep log data for analysis
  • Summarize classroom technology use at WashU using descriptive statistics
  • Maintain documentation of project work and readable code that can be used for future analyses and extended projects
  • Produce report and present findings to relevant university offices and committees
  • Share findings through blog posts, conference papers, and/or journal articles
  • Support additional CTL projects that promote teaching with technologies (e.g., pilot testing, review resources and training materials)



  • Ability to commit at least 5 hours per week through May 2023
  • Current undergraduate or graduate student at Washington University
  • Demonstrated expertise in qualitative and quantitative data analysis
  • Technical acumen with office and statistical software
  • Strong verbal and written communication skills with attention to detail
  • Self-starter able to work independently with minimal supervision
  • Collaborative team player who can work with diverse teams and groups
  • Interest in enhancing teaching and learning practices


  • Ability to commit 10 hours per week through May 2023
  • Experience designing surveys and/or interviews
  • Experience using AV/IT equipment and other tools (e.g., whiteboards) to teach or engage others in a classroom or meeting room
  • Demonstrated expertise in managing data and building data visualizations
  • Interest in disseminating findings and extending fellowship beyond spring term

Additional information

  • $15-18 per hour, based on experience level
  • Part-time
  • Remote/Hybrid
  • Spring term contract, with option to extend

Application process

Please submit a resume/CV and cover letter to Sally Wu, Assistant Director for Educational Technology, at, and include Data Fellow in the subject line of your e-mail. Applications close January 31, 2023.