I'm passionate about leveraging data to support equitable outcomes for emergent bilingual learners and advancing ethical AI applications in education. I aim to connect with educators and explore diverse teaching and learning environments that inform approaches to bridge AI and real-world classroom needs. In my spare time, I enjoy watching Criterion Collection movies and knitting (at the scarf level).
My research prioritizes an equity and data-driven lens to identify support areas for bi-/multilingual learners. Some areas of academic interest include systematically exploring linguistic biases in large language models and understanding how translanguaging and language variations affect model grading performance.
I conduct interdisciplinary, epistemic research on linguistic variations in student writing and use these variations as sources to assess the benefits and drawbacks of multilingual large-language models in education. My projects involve collaborating with educators, data analysts, and stakeholders to gather and analyze authentic translanguaging data, developing strategies to engage bi/multilingual teachers and learners, and bridging language and science with artificial intelligence.
I've had the pleasure of mentoring Spanish educators across 20 school districts in the Madison, WI area, enhancing teacher development and training. Additionally, I've implemented Spanish pedagogy through both virtual platforms and in-person sessions, reaching over 100 elementary students in before- and after-school programs. I'm passionate about fostering language growth and creating pathways for linguistic development.
One of my most rewarding teaching experiences was creating an immersive, engaging environment that advanced English learning for K-6 students in Galicia, Spain. I led activities focused on oral comprehension and conversational practice, designing both interactive and hands-on materials tailored to emergent bilingual learners. This role enabled me to apply learning analytics and utilize platforms like Canvas LMS and Google Classroom to foster meaningful learning experiences for students from diverse linguistic backgrounds.
University of Wisconsin-Madison
Present
University of Wisconsin-Madison
2023
University of Wisconsin-Madison
2021
Barron, K., Tseng, N., Karumbaiah, S., & Baeza, C. (2024). Evaluating language models using linguistic variations in multilingual learners’ writing: A teacher study. International Society of the Learning Sciences. https://doi.org/10.22318/icls2025.103145
Syamkumar, A., Tseng, N., Barron, K., Yang, S., Karumbaiah, S., Uppal, R., & Hu, J. (2024). Improving bilingual capabilities of language models to support diverse linguistic practices in education. arXiv. https://arxiv.org/abs/2411.04308
Barron, K., Castro, M., Karumbaiah, S., & Román, D. (2025). A multiple case study of translanguaging and systemic functional linguistics in K-12 science education. In Proceedings of the European Science Education Research Association (ESERA) Conference 2025.