-22b9b34417bc6092a741b58 20220115013108448 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 01 30 2022 Researcher, Seoul National University of Science and Technology, Seoul, South Korea. Prof. Dr. Dong Hwa Kim Prof. Dr. Young Sung Kim Graduating School of Nano Science, Information, Design and Engineering, Seoul National University of Science and Technology, Seoul, South Korea. This paper deals with emotion-based self-directed teaching and learning in online education. Teachers and learners cannot understand how much their communication exchanges well with each other. So, their teaching and learning efficiency decreases than their expectation. To increase teaching and learning efficiency, this paper analyzes face emotional patterns to figure out which emotion segments have dominant facts in teaching and learning through Korean women’s face data. These dominant factors are sent to control for improving self-directed learning. In the control system, deep learning compares face data with reference data and finally decides the control signal to improve self-directed learning. Keywords: Face Emotion, Online Education, Self-Directed Teaching and Learning, Emotion Reinforcement. 01 30 2022 76 83 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6762.0110522 https://www.ijrte.org/portfolio-item/e67620110522/