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Teaching TAs To Teach: Strategies for TA Training

Ball, Michael and Hsia, Justin and Pon-Barry, Heather and DeOrio, Andrew and Blank, Adam (2020) Teaching TAs To Teach: Strategies for TA Training. In: Proceedings of the 51st ACM Technical Symposium on Computer Science Education. Association for Computing Machinery , New York, NY, pp. 477-478. ISBN 9781450367936.

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"The only thing that scales with undergrads is undergrads". As Computer Science course enrollments have grown, there has been a necessary increase in the number of undergraduate and graduate teaching assistants (TAs, and UTAs). TA duties often extend far beyond grading, including designing and leading lab or recitation sections, holding office hours and creating assignments. Though advanced students, TAs need proper pedagogical training to be the most effective in their roles. Training strategies have widely varied from no training at all, to semester-long prep courses. We will explore the challenges of TA training across both large and small departments. While much of the effort has focused on teams of undergraduates, most presenters have used the same tools and strategies with their graduate students. Training for TAs should not just include the mechanics of managing a classroom, but culturally relevant pedagogy. The panel will focus on the challenges of providing "just in time", and how we manage both intra-course training and department or campus led courses.

Item Type:Book Section
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Additional Information:© 2020 Copyright is held by the owner/author(s).
Subject Keywords:Teaching assistants; graduate student instructors; TA training; pedagogy; undergraduate student instructors
Record Number:CaltechAUTHORS:20200226-111743367
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Official Citation:Michael Ball, Justin Hsia, Heather Pon-Barry, Andrew DeOrio, & Adam Blank. 2019. Teaching TAs To Teach: Strategies for TA Training. In The 51st ACM Technical Symposium on Computer Science Education (SIGCSE 2020), Mar. 11-14, 2020, Portland, OR, USA. ACM, New York, NY, USA, 2 pages.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:101574
Deposited By: Tony Diaz
Deposited On:26 Feb 2020 19:30
Last Modified:16 Nov 2021 18:04

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