首页|Findings from Tsinghua University Provides New Data about Artificial Intelligence (A Survey Study of Chinese Teachers' Continuous Intentions To Teach Artificial Intelligence)
Findings from Tsinghua University Provides New Data about Artificial Intelligence (A Survey Study of Chinese Teachers' Continuous Intentions To Teach Artificial Intelligence)
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NETL
NSTL
Springer Nature
A new study on Artificial Intelligence is now available. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “As the world is increasingly infused with artificial intelligence (AI), school teachers are beginning to acquire AI literacy and to integrate AI-related content into their teaching practices. However, research on teachers’ AI competencies is still in its early stage, leaving many gaps yet to be explored.” The news correspondents obtained a quote from the research from Tsinghua University, “This study engaged 364 Chinese practicing teachers involved in teaching AI lessons after receiving training, employing a six-factor instrument. The survey assessed teachers’ efficacies in understanding AI and teaching AI, with additional considerations of promoting ethical awareness and designing socially beneficial AI applications. In addition, teachers’ continuous intention to learn AI and their attitudes toward teaching AI were measured. The survey underwent rigorous validation procedures, confirming its construct validity through confirmatory factor analysis, and demonstrating satisfactory reliabilities and convergent and discriminant validities through other statistical analyses. Structural equation modeling provided support for most of the hypotheses. Further, variance analyses indicated that high school teachers scored higher than primary and middle school teachers across all six measured factors, possibly due to the contextual demands of the university entrance examinations. Overall, the findings suggest a willingness among teachers to enhance their competencies for teaching AI, and underscore the need for increased attention on strengthening teachers’ competencies to promote ethical judgement and design AI for social good.”
BeijingPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningTsinghua University
NETL
NSTL
Springer Nature
