Development and Evaluation of a Gesture Recognition-Based Artificial Intelligence Science Popularization System

Advances in Educational Technology and Psychology Pub Date : 2023-01-01 DOI:10.23977/aetp.2023.070701

Shijia Tang

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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.

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基于手势识别的人工智能科普系统开发与评价

当前，中国政府正在积极推动人工智能(AI)技术融入中学课堂。然而，教学资源的匮乏、繁重的学业压力以及突发的公共卫生事件阻碍了科普教学的正常开展。本研究基于北京市海淀区人工智能课程需求，利用Mediapipe的关键点识别技术，开发了一套用于体验式教学的远程控制系统。该系统可以远程控制智能家居和操纵机械臂运动，让学生以多感官的方式体验人工智能技术，并克服空间限制。为了评估该系统在培养学生人工智能素养方面的有效性，我们选择了湖南省一所高中的40名学生作为研究对象。实验组与对照组测验成绩的t值为4.173。结果表明，采用科普系统作为学习辅助，显著提高了学生对人工智能知识的掌握程度。

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来源期刊

Advances in Educational Technology and Psychology

自引率

0.00%

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审稿时长

3 weeks