This research aimed to develop and evaluate the effectiveness of the Teachable Machine program in developing volleyball skills, focusing on using artificial intelligence (AI) technology to analyze and improve volleyball playing techniques. The sample consisted of 60 undergraduate volleyball players, divided into an experimental group and a control group, 30 people per group. The research methodology began with training the Teachable Machine model with images and videos of correct volleyball playing postures. The program was then used to analyze and provide real-time feedback to the experimental group during training for 8 weeks, while the control group received traditional training. The volleyball skills of both groups were assessed before and after the experiment. The results showed that the experimental group using the Teachable Machine program had significantly better volleyball skills than the control group (p < .05), especially regarding serving accuracy, setting, and spiking. In addition, participants in the experimental group reported higher levels of satisfaction and motivation in training. This study demonstrates the potential of using AI technology through the Teachable Machine program in developing volleyball sports skills, which can be applied in training and teaching to increase learning efficiency and develop athletes’ skills.

Authors:
Amnaj Sukjam, Rajamangala University of Technology Suvarnabhumi, Thailand
Anek Putthidech, Rajamangala University of Technology Suvarnabhumi, Thailand
Prinya Nato, Rajamangala University of Technology Suvarnabhumi, Thailand
Sangtong Boonying, Rajamangala University of Technology Suvarnabhumi, Thailand

About the Presenter(s)
Assistant Professor Amnaj Sukjam is currently a lecturer in the Department of Physical Education and Recreation, Faculty of Science and Technology, Rajamangala University of Technology Suvarnabhumi, Thailand.

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