Research of online learning status monitoring based on deep learning

In contrast to traditional classroom settings, online teaching leverages network technology to facilitate instruction. A pressing challenge in this domain is the effective monitoring of students’ engagement levels to optimize learning outcomes. Addressing this, the present study introduces a deep learning-based online classroom system equipped with a learning status monitoring feature. This system employs image processing techniques and software development to capture and analyze students’ postures during online sessions, thereby providing educators and guardians with comprehensive insights into students’ engagement levels.