Detecting Exclusive Language during Pair Programming

Inclusive team participation is one of the most important factors that aids effective collaboration and pair programming. In this paper, we investigated ability linguistic features a transformer-based language model to detect exclusive inclusive language. The task detecting was approached as text classification problem. We created research community resource consisting dataset 40,490 labeled utterances obtained from three programming assignments involving 34 students in remote environment. This involves first successful automated detection during Additionally, work perform computational analysis on verbal interaction common context