Gerlan Apriandy Manu, Punaji Setyosari, Saida Ulfa, Henry Praherdhiono
This study discusses the development of Videmo platform. Videmo is a prototype online learning platform grounded in the Community of Inquiry framework and andragogical principles. It integrates Video-Based Discussion (VBD) and Emotion Detection Deep Learning (EDDL) technology to promote deeper learning and emotional engagement. Videmo Platform is a response to the limitations of Text-Based Discussion, which often miss capturing the students’ emotions needed for interaction and understanding. Videmo recognizes emotional expressions such as happy, sad, angry and surprise using EDDL technology through facial analysis in videos discussion. Technical test results showed that the platform achieved an F1-score detection accuracy of 95% for MobileNet V1 SSD, followed by Tiny Face Detector F1-score of 92.0% and Face Expression Model F1-score of 88.0% in various lighting conditions and viewing angles. Surveys with 34 students found 86.27% of students said that Videmo engaged them more in the discussion and 75% of lecturers felt they understood the students’ emotional engagement better. These findings illustrate the ability of Videmo Platform to transform the online learning experience into one that is more interactive and personalized. These initial findings suggest that Videmo may enhance social presence and provide instructors with richer insights into learner engagement, indicating potential for creating more interactive and personalized online learning experiences. © 2026, The Online Learning Consortium. All rights reserved.
Universitas Citra Bangsa, Indonesia; Universitas Negeri Malang, Indonesia
