Purpose: This research is a continuation of the previous year, namely 2022, which functions to implement VCDLN through Mobile Communication-based TVUPI media which uses Android Mobile Phones in building a distance learning system in Asia. In doing so, it is carried out based on the work of Artificial Intelligence (AI).
Method: This research uses the Research and Development method through the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Specifically, implementation involves assessments from teachers from Indonesia, Japan, and South Korea. Meanwhile, evaluation indicators use indicators from AI from Expert.
Result and Conclusion: In addition, the opinions of educators from South Korea Japan, and Indonesia support the expansion of VCDLN-Learning through Mobile Communication Based on AI services to other countries. Three aspects of the AI Framework tend to get high scores, namely the Deep Learning aspect with scores of 185, 187, and 189. Then the Robotics aspect with scores of 187, 192, and 195, and the Neural Network aspect with scores of 192,196 and 198 from a maximum score of 200.
Implementation of The Research: This finding is reinforced by the thought of AI experts that the VCDLN innovation applies the framework of AI, especially in building mobile communication and fast access automation systems from Big Data for Mobile VCDLN-learning in Learning Services.
Originality/Value: This research contributes to existing literature regarding Virtual Community Digital Learning, Television Technology, media, and digital applications regarding mobile communication. Strengthening the contribution of theories about Artificial Intelligence technology to Digital Mobile Communications in Asia.