Role-Play Method Human Augmentation Simulation Learning to Enhance Digital Content Creator

This research aimed to design and develop a role-play method human augmentation simulation learning to enhance the competencies of digital content creators. The study pursued four main objectives- (1) to synthesize a conceptual framework for a role-play method human augmentation simulation learning, (2) to identify the key attributes and competencies of digital content creators, (3) to develop the learning model and learning system, and (4) to examine expert perspectives on its suitability. The sample consisted of 13 experts with extensive teaching experience in scriptwriting, media production, and professional competence, drawn from various higher education institutions. The independent variable was the role-play learning model incorporating human augmentation, while the dependent variables were learning achievement, competence in digital content creation, and learner satisfaction. The findings contribute to the development of innovative instructional approaches that integrate role-play and human augmentation technologies, fostering both theoretical understanding and practical skill development among future digital content creators. The research was carried out in four phases- (1) synthesizing the conceptual framework, (2) identifying the required competencies of digital content creators, (3) developing the learning model and learning system, and (4) examining expert perspectives on its application. Results indicated that the overall suitability of the learning model and learning system were rated at the very high level. This suggests that the model contains appropriate components and can serve as a practical guideline for learning through the role-play human augmentation process. Moreover, the learning system fosters systematic analytical thinking and enables learners to engage in authentic, hands-on practice.