CTL Job Posting: Graduate Data Fellow, Educational Technology

Job Description

Overview

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 educational technologies and supporting the university in developing innovative solutions, predicting future needs, and planning for technology initiatives for teaching and learning.

Description

The graduate fellow for educational technology will advance the mission of the CTL by assessing the use of educational technologies for teaching and learning in WashU courses. The fellow will investigate how instructors use educational technologies across campus using log data from WashU-supported technologies (e.g., Canvas, Kaltura, Poll Everywhere). The fellow will work with the Center for Teaching and Learning, Instructional Technology, Office of Institutional Research, and other university partners to analyze data on how students and instructors use educational technologies to engage with content and one another. The fellow will take the lead in exploring, analyzing, and presenting data, with supervision and mentoring from the CTL assistant director for educational technology. Findings from this work will be presented to campus leaders with opportunities available to deepen analyses and lead scholarly publications.

Responsibilities

• Use WashU databases and tools to collect and prep log data for analysis
• Assess educational 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
• Collaborate with CTL staff and ed tech specialists to synthesize data across schools and identify future technology needs and recommendations for the university
• Produce report and present findings to relevant university offices and committees (e.g., IT T&L committee, WUIT)
• Publish findings through blog posts, conference papers, and/or journal articles
• Support additional CTL projects that promote teaching with educational technologies (e.g., pilot testing, review resources and training materials)

Requirements

Minimum

• Current graduate student at Washington University
• Demonstrated expertise in quantitative data management and 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
• Ability to commit 10 hours per week through May 2022

Preferred

• Familiar with course creation and management tools in Canvas
• Demonstrated expertise managing data and building data visualization in Tableau
• Interest in enhancing teaching and learning practices
• Interest in disseminating findings and extending fellowship after May 2022

Additional information

• $2500 stipend
• Part-time
• Remote/Hybrid
• Spring term contract, with option to extend
• Applications close December 3, 2021

Application process

Please submit a CV and cover letter to Sally Wu, Assistant Director for Educational Technology, at sallywu@wustl.edu. Please include Ed Tech Data Fellow in the subject line of your e-mail message.