My foundation is sociocultural: learning happens through interaction, mediated by language and culture. In mixed groups, dominant linguistic and academic norms can quietly obscure valuable perspectives, leading to disengagement and diminished agency for learners who don’t share those norms. My M.Ed. work explored translanguaging as a culturally sustaining approach to co-learning — how multilingual meaning-making influences who gets recognized.

What draws me to AI and learning analytics is the limit of human observation. Educators can’t catch every subtle interactional dynamic in real time. I’m interested in whether AI-supported tools — natural language processing, multimodal analytics, discourse analysis — can act as a reflective resource: not to judge learners, but to make patterns of participation, recognition, and agency visible so that everyone, including dominant-group learners, can engage more thoughtfully.