Date of Award
6-17-2025
Document Type
Thesis
Publisher
Santa Clara : Santa Clara University, 2025
Department
Computer Science and Engineering
First Advisor
Silvia Figueira
Abstract
Bilingual students often face challenges in mathematics not due to a lack of ability, but because of linguistic barriers that hinder their understanding of math-specific terminology and consequently their problem-solving language ability. This project addresses that issue through the development of a mobile application designed to support English language acquisition in the context of mathematics for Spanish-speaking students. Rather than teaching mathematical concepts directly, the app focuses on vocabulary, syntax, and contextual comprehension through scaffolded lessons, gamified elements, and an integrated AI chatbot.
Built using Flutter for cross-platform compatibility, the app prioritizes accessibility, simplicity, and engagement for young users. Ethical considerations such as data privacy and age-appropriate content are incorporated into the AI support system, which provides vocabulary hints and language feedback without evaluative functions. Evaluation with real users will inform future iterations and potential expansion to additional language pairs or subject domains. This project aims to fill a critical gap in educational technology by bridging math education and language learning, ultimately promoting equity and confidence among bilingual learners.
Recommended Citation
Alvarado, Adian; Pishori, Farhaan; Villalta, Luis; Yao, Andrea; and Singh, Ekam, "Bilingual Buddy" (2025). Computer Science and Engineering Senior Theses. 345.
https://scholarcommons.scu.edu/cseng_senior/345
