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2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 ; : 201-205, 2022.
Article in English | Scopus | ID: covidwho-1874161

ABSTRACT

This research has designed and developed a The Role-Play Method Human Augmentation Learning Model to Enhance Digital Content Creator, aiming to study and synthesize the framework for developing role-playing Method Human Augmentation Simulation Learning models to enhance digital content creators and study feasibility. The development approach is a model for managing, studying or reviewing the content of studying in covid-19 situations, there are 50 undergraduate students in digital media technology, Rajamangala University of Technology Tawan-Ok. Research content uses digital film production course content. Digital Media Technology Program in Multimedia Technology, Rajamangala University of Technology Tawan-Ok, 6 lessons, trialled in semester 2, academic year 2022, the method of conducting research is divided into 5 phases: Phase 1 synthesis of conceptual framework for developing The Role-Play Method Human Augmentation Learning Model to Enhance Digital Content Creator Phase 2 Synthesis of substanceist features. The expected benefit is that it competes with Digital Content Creator that are suitable for the context of Thailand. Educational institutions that offer courses in relevant disciplines have guided them with Role-Play learning methods to develop Digital Content Creator. © 2022 IEEE.

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