Analyze data from one or more of the following Library Applications/Systems and create visualizations that highlight the most important findings related to our goal of supporting self-directed learning.

  • PocketKnowledge (TC Online Archive)
  • DocDel (TC E-Reserve System)
  • Vialogues (TC Video Discussion Application)
  • Pressible (TC Blogging Platform)
  • Library Website and Mobile App
  • Library E-Resources (Database and Journals)
  • Library Room Booking System
  • Library Support Request System
  • Library Internal Geo-Location Tracking System (QUUPA)

Selected candidate(s) will receive a stipend directly from TC EdLab. Amount is subject to available funding.

Faculty Advisor

  • Professor Gary Natriello
  • Department/School: Teachers College - Dept. of Human Development
  • Location: Teachers College
  • Researchers at EdLab at the Gottesman Libraries analyze data generated by multiple online systems, tools, and resources to enhance learning, teaching, and research.

Project timeline

  • Earliest starting date: 03/01/2019
  • End date: 08/31/2019
  • Number of hours per week of research expected during Spring 2019: ~20
  • Number of hours per week of research expected during Summer 2019: ~35

Candidate requirements

  • Skill sets:
    • Experience working with data and familiar with Python and R
    • Familiar with data mining and visualization packages (e.g., D3, Shiny, etc.)
    • Willingness and ability to learn new technologies
    • Some software engineering experience
    • Interest in advancing research in learning and education
  • Student eligibility (as of Spring 2019): freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible