Analysis and Design of the Competency Model of K-12 Robot Education Teachers for Training Institutions in China

As the government in China attaches importance to AI education, the K-12 Robot Education Industry, which plays a fundamental role in AI education, has formed a huge demand for teachers. However, the number of teachers trained by the colleges and universities in China is still insufficient recently. To better improve the Robot Education Teachers' professional curriculum system and content design, it is necessary to understand the competency structure of robot education teachers. In this study, the authors adopted the content analysis method combining quantitative statistics and qualitative analysis to confirm the competency of robot education teachers. They crawled the recruitment data (N=445) from a famous recruitment Website with a self-developed crawler, then constructed a “Professional Task Capability-Professional Knowledge & Skills-Professional Quality” K-12 Robot Education Teacher Competency Model through the analysis and text coding based on the grounded theory. A survey was conducted on in service teachers in educational institutions in Guangdong Province (N‘=119) to verify the reliability of the model constructed. The results showed that 97.5% of them acknowledged the Competency Model. Based on the research results, the authors give some suggestions for colleges and universities to improve the training of robot education teachers.