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Title: 

Teaching Multilingual Learners in Computer Science: Redefining the Problem

Authors: PiLa-CS project
Vogel, Sara
Hoadley, Christopher
Ascenzi-Moreno, Laura
Ma, Jasmine
Fu, Mulan
Fuller, Danielle
Posner, Ezra
Grant, Gabriel
Issue Date: Aug-2020
Publisher: New York University
Series/Report no.: Exploring Equity in Computer Science: A Translanguaging Approach to Computing Education;Episode 1
Abstract: Episode 1: Teaching multilingual learners in CS - Redefining the problem As CS for All grows as a national initiative, teachers may find themselves wondering how to reach multilingual learners. This first video calls out the systems that prevent these learners from reaching their full potential. It also introduces the Participating in Literacies and-Computer Science (PiLa-CS) project. Featuring team members from Participating in Literacies and Computer Science (PiLa-CS), https://www.pila-cs.org
Description: Episode 1: Teaching multilingual learners in CS - Redefining the problem As CS for All grows as a national initiative, teachers may find themselves wondering how to reach multilingual learners. This first video calls out the systems that prevent these learners from reaching their full potential. It also introduces the Participating in Literacies and-Computer Science (PiLa-CS) project. Featuring team members from Participating in Literacies and Computer Science (PiLa-CS), https://www.pila-cs.org
URI: http://hdl.handle.net/2451/61984
Rights: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Appears in Collections:dolcelab collection



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