Author(s)

Shijia Tang ¹

Affiliation(s)

¹ Tongji University, Shanghai, 200082, China

Corresponding Author

Shijia Tang

ABSTRACT

Currently, the Chinese government is actively promoting the integration of artificial intelligence (AI) technology into secondary school classrooms. However, the lack of teaching resources, heavy academic pressure, and unexpected public health events hinder the normal development of popular science teaching. In this study, based on the AI curriculum requirements in Beijing's Haidian District, a remote-control system for experiential teaching was developed using Mediapipe's keypoint recognition technology. This system enables remote control of smart homes and manipulation of robotic arm movements, allowing students to experience AI technology in a multi-sensory manner and overcome spatial limitations. To evaluate the effectiveness of this system in fostering students' AI literacy, 40 students from a high school in Hunan Province were selected as the research subjects. The t-value of the test scores between the experimental group and the control group was found to be 4.173. The results indicate that the adoption of the popular science system as a learning aid significantly improves students' mastery of AI knowledge.

KEYWORDS

Artificial Intelligence; Gesture Recognition; Remote Control; Science Education

CITE THIS PAPER

Shijia Tang, Development and Evaluation of a Gesture Recognition-Based Artificial Intelligence Science Popularization System. Advances in Educational Technology and Psychology (2023) Vol. 7: 1-8. DOI: http://dx.doi.org/10.23977/aetp.2023.070701.

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• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
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