The growing use of digital technologies in the education system has generated large amounts of data that records educational processes at a granular level. This project aims to leverage large-scale text data and NLP and causal inference techniques to understand the interplay between instructional contexts, students’ day-to-day online communication experience, and systematic inequality in academic achievement. This understanding can help educators create a more inclusive and effective educational environment to promote engagement and sense of belonging for students from marginalized groups, thereby reducing existing inequities in the system.
