This research aims to create e-training with AI prompts for international academic conferences and publication in international journals. To determine the efficiency of e-training. Find the effectiveness of the Learner's success through improved e-training and find satisfaction with e-training. The methodology used in the research consists of 5 main steps: analysis, design, course development, e-training development, and evaluation and summary, using AI prompts to help carry out each topic according to Interactive Multimedia Computer-assisted Instruction (IMMCAI principles) to find Interval-test/Post-test (E1/E2), effectiveness, and Satisfaction. The sample group consisted of staff and students—faculty of Industrial Education and Technology (FIET), King Mongkut's University of Technology Thonburi (KMUTT), 30 people. The evaluation test results found that the e-training was created with an efficiency of 83.75/81.58 according to the specified criteria, which is 80/80. The training achievement of the trainees increased by 30.75 percent. The content quality score was equal to 4.11 and the participants' satisfaction with the online training was 4.38, which is considered good. It can be concluded that e-training for publishing articles can be used for individual learning and development. There will be a high number and quality results from AI prompts to help work more accurately, conveniently, and quickly.

Authors:
Theerapong Maneepen, King Mongkut's University of Technology Thonburi, Thailand
Narong Mungkung, King Mongkut's University of Technology Thonburi, Thailand
Suchapa Netpradit, King Mongkut's University of Technology Thonburi, Thailand

About the Presenter(s)
Mr. Theerapong Maneepen is currently an Assistant Professor of Industrial Education at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand.

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