中国电化教育

人工智能正在快速重构教育的组织模式与服务样态,引领教育理论与实践的颠覆性变革。该研究组织八场专题座谈,调研一线教师、学校管理者、区域管理者和企业代表在推进人工智能与教育深度融合进程中的经验与问题,并采用扎根理论进行编码分析。研究发现,当前我国推进人工智能与教育深度融合的经验可以概括为四个方面:政府通过顶层设计,保障人工智能与教育的深度融合与创新发展;企业通过细分产品场景与提供驻点服务,推进人工智能教育产品普及应用;学校按需配置智能产品并利用人工智能强化教师研修活动,推进业务转型;教师以学科教学为中心探索人工智能应用,利用人工智能提升科研能力。但也面临着制度障碍、条件障碍、主体障碍、技术障碍等不同层面的现实挑战。为此,研究提出可以通过优化制度供给、建立“政产学研用”联合体、开展智能素养专业培训、研制智能教育产品技术标准、推进应用场景走实落细等方式加速推进人工智能与教育的深度融合。

Artificial Intelligence(AI) is rapidly reshaping the organizational patterns and service models of education, leading to transformative and innovative developments in educational theory and practice. This study, through the organization of eight thematic discussions, investigates the experiences and challenges faced by frontline teachers, school administrators, regional managers, and corporate representatives in the process of advancing the deep integration of AI with education, employing grounded theory for coding analysis. The findings reveal that the current experiences in promoting the deep integration of AI and education in our country can be summarized into four aspects: the government ensures the deep integration and innovative development of AI and education through top-level design; companies promote the popularization and application of AI educational products by segmenting product scenarios and providing on-site services; schools configure intelligent products according to demand and utilize AI to strengthen teacher training activities, advancing business transformation; teachers explore AI applications centered on subject teaching and use AI to enhance their research capabilities. However, there are also practical challenges at different levels, including institutional, conditional, agency, and technological barriers. In response, this study proposes that the deep integration of AI and education can be accelerated through optimizing institutional supply, establishing a “ government-industry-academia-research-innovation-application” consortium,conducting professional training in intelligent literacy, developing technical standards for intelligent educational products, and promoting the practical and detailed implementation of application scenarios.