Advancing Online Education: An Artificial Intelligence Applied System for Monitoring and Improving Employee Engagement in Enterprise Information Systems

Nguyen Thanh Son, Trong Tien Hoang, Satyam Mishra, Bich Thuy Nguyen Thi, Tran Huu Tam, Cong-Doan Truong

Abstract: Online learning has gained significant popularity, but maintaining learner focus remains a challenge, especially in financial enterprise training systems. The need for training has increased with banking and finance digitalization trends, yet high learning curves and prolonged sessions often lead to distractions. This research introduces an online learning tool that monitors and quantifies learner attention in real-time. Using the MobileNet Convolutional Neural Network, we detect seven core emotions, which, combined with attention scores, form a Concentration Index (CI). Learners are then categorized as “Highly-engaged,” “Normally Engaged,” or “Disengaged.” With 70% accuracy on training and 65% on testing, our engagement metrics provide actionable insights for educators and administrators, enhancing virtual learning and aiding in analytical problem-solving strategies.