@inproceedings{645fa51ecfaf4c8682ab4582fca166b2,
title = "Nailing the TA interview: Using a rubric to hire teaching assistants",
abstract = "Where would we be without them? Teaching assistants (TAs) make it possible for us to deliver high-quality large-scale computer science courses with relatively few faculty. Though their responsibilities vary by institution, TAs often play a crucial role in student learning. The use of teaching assistants in computer science courses is a common and longstanding practice and, yet, little has been published about how to choose the best TAs among those interested in the job. This paper describes the development of an interview rubric in use by faculty teaching a large introductory computer science course to score applicant responses in a formal in-person 30-minute interview. We describe the motivation behind developing such a rubric, the initial development process, its refinement based on feedback provided by students about their TAs, and the preliminary results of implementing this hiring system.",
keywords = "Course management, Course staff, Hiring, Hiring practices, Hiring rubric, Job interview, Large courses, Teaching assistants",
author = "Dan Leyzberg and J{\'e}r{\'e}mie Lumbroso and Christopher Moretti",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 2017 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2017 ; Conference date: 03-07-2017 Through 05-07-2017",
year = "2017",
month = jun,
day = "28",
doi = "10.1145/3059009.3059057",
language = "English (US)",
series = "Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE",
publisher = "Association for Computing Machinery",
pages = "128--133",
booktitle = "ITiCSE 2017 - Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education",
}