人工智能在教育领域创新扩散的影响因素研究——基于TOE理论框架  

Research on the Influencing Factors of the Innovation Diffusion of Artificial Intelligence in Education Based on TOE Theoretical Framework

作　　者：张乐乐 顾小清[1] Lele Zhang;Xiaoqing Gu

机构地区：[1]华东师范大学教育信息技术学系

出　　处：《中国远程教育》2023年第2期54-63,82,共11页Chinese Journal of Distance Education

基　　金：2019年度国家社会科学基金重大项目“人工智能促进未来教育发展研究”(项目编号:19ZDA364)的研究成果。

摘　　要：人工智能技术的创新扩散研究是深入推进人工智能教育应用的关键。人工智能技术的快速发展推动了技术与教育的融合创新,促进了教育教学方式的变革。由于目前人工智能技术在教育领域的实践应用还处于初级阶段,教师对其在评价、管理等方面的独特优势仍在探索中。为推动人工智能在教育领域规模化、常态化应用,本研究以TOE理论为基础,从教师的视角出发,采用问卷调查方法,深入剖析技术、组织和环境三大维度的各因素对人工智能在教育领域中采纳扩散的影响。结果表明:潮流压力、政策法规、教育培训、安全性、相对技术优势、组织准备、管理者支持是影响人工智能在教育领域进一步创新扩散的重要因素,兼容性对人工智能技术的采纳扩散没有显著影响;从人口变量学的角度来看,教师的性别、教龄和所教学段对人工智能技术的采纳扩散均不存在显著性差异,仅学历对人工智能技术在教育中采纳扩散的态度存在显著性差异。在此基础上,结合人工智能的发展规律、创新扩散的机制以及发达国家在人工智能教育方面的政策要求,提出了促进我国人工智能技术在教育领域进一步采纳扩散的建议。Research on the innovation diffusion of artificial intelligence technology is the key to further promoting the application of artificial intelligence in education. The rapid development of artificial intelligence technology has promoted the integrated and innovative development of technology and education, and realized the transformation of education and teaching methods. However, since the practical application of artificial intelligence technology in education is in its infancy, teachers are still exploring its unique advantages in evaluation and management. In order to promote the large-scale and normalized application of artificial intelligence in the field of education, this research, based on the TOE theory and from the perspective of teachers, adopts the method of questionnaire survey and deeply analyzes the factors affecting the innovation diffusion of AI in education field among three dimensions:technology, organization and environment. The research results show that: trend pressure, policies and regulations, education and training, security, relative technical advantages, organizational preparation, and manager support are important factors that affect the further innovation diffusion of artificial intelligence in the field of education, while compatibility has no significant effect on the adoption and diffusion of artificial intelligence technology. Moreover,from the perspective of demographic variables, this paper analyzes the teachers’ gender, teaching age and their attitudes towards the adoption and diffusion of AI technology. The results show that there is no significant difference in the adoption and diffusion of AI technology among the variables;only education level has significant differences in attitudes towards the adoption and diffusion of AI technology in education. On this basis, considering the patterns of AI development, the mechanism of the innovation diffusion of AI technology, and the policy requirements of developed countries in artificial intelligence education, suggestions are put

关 键 词：人工智能教育 创新扩散 影响因素 TOE理论 相对技术优势 安全性 组织准备 潮流压力 政策法规 

分 类 号：G434[文化科学—教育学]