Leveraging Multilingual Students' Resources for Equitable Computer Science Instruction

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Citation of Original Publication

Jacob, Sharin Rawhiya, Sara Vogel, Rose K. Pozos, Patricia Ordóñez Franco, and Jean Ryoo. “Leveraging Multilingual Students’ Resources for Equitable Computer Science Instruction.” In 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT), 1–2, 2021. https://doi.org/10.1109/RESPECT51740.2021.9620556.

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© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

Few interventions in K-12 Computer Science (CS) education center on multilingual students who speak more than one language and may be learning English. Emerging research illustrates how multilingual students draw on a range of resources (e.g., cultural, linguistic, semiotic, and embodied) during CS learning activities. Instructional models that leverage these resources can open new possibilities for inclusive CS education. Panel presenters representing four projects working to integrate CS education into multilingual K-12 environments will highlight efforts demonstrating how multilingual students' resources, and educators' engagement with them, shape how these students participate in CS education. Each project positions these resources differently with respect to traditional schooling arrangements, CS content and practices, and language goals. This panel will explore those contrasts and the tensions they surface.