Publication Date
2-17-2026
Document Type
Conference Proceeding
Publication Title
SIGCSE TS 2026 Proceedings of the 57th ACM Technical Symposium on Computer Science Education V 2
DOI
10.1145/3770761.3777339
First Page
1559
Last Page
1560
Abstract
As computing education expands globally, the dominance of English in programming languages can present barriers for students who are not native English speakers. This research work investigates whether language matters in programming by examining how a bilingual programming workshop influences student attitudes, perceived understanding and comfort. Sixty bilingual participants from San Jose State University, 40 with little to no prior programming experience and 20 experienced programmers completed a two-hour workshop using the multilingual Hedy platform. Pre- and post-surveys measured changes in confidence, enjoyment, motivation, identity, and usefulness, complemented by open-ended questions about participants’ experiences. All students showed improvements across most constructs, but inexperienced students gained more in confidence and enjoyment, while experienced students showed smaller gains and preferred coding in English. Qualitative responses revealed that while most students felt English supported clarity, bilingual students more often reported that using both languages helped with conceptual understanding, despite some translation challenges. These findings contribute to ongoing discussions in computer science education about linguistic inclusion and offer practical insights for educators designing multilingual or culturally responsive programming environments.
Keywords
Bilingualism, Broadening Participation, Programming languages
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Computer Science
Recommended Citation
Ethel Tshukudu, Neel Asheshbhai Shah, Thien Khang Kieu, Leqaa Deeb, Harshitha Venkateswaran, Aarav Ghai, Yusuf Gadelrab, and Purujit Hada. "Exploring Bilingual Coding for Inclusive Computer Science Learning" SIGCSE TS 2026 Proceedings of the 57th ACM Technical Symposium on Computer Science Education V 2 (2026): 1559-1560. https://doi.org/10.1145/3770761.3777339