Classroom Observation

Classroom observation research aims to improve teaching and learning by analyzing classroom interactions. Current research focuses on automating the process using machine learning models, including multimodal approaches combining video, audio, and text analysis, and leveraging large language models like ChatGPT for automated scoring and feedback generation. These advancements offer the potential for more efficient and reliable assessment of teaching practices and student engagement, providing valuable insights for educators and researchers alike. The development of large datasets of classroom transcripts and the creation of systems for individualized student observation further enhance the scope and impact of this research.