华侨大学学报（哲学社会科学版）Issue(3)：5-17,13.
数据可解释性:教育数字化转型面临的新问题域
Data Explainability:A New Problem in the Digital Transformation of Education
摘要
Abstract
Exploring the data explainability of artificial intelligence in education is an important issue in promoting the dig-ital paradigm shift of education in China,and it is also a key issue in achieving a strong education country.With the appli-cation and innovative practice of complex algorithm models in the field of education,explainable artificial intelligence(XAI)has exposed its"black box"attribute in the process of technological evolution,and the lack of data explainability in AI and education has become an important challenge that cannot be avoided in the development of digital education.In the context of digitization,the coupling logic between artificial intelligence and ideological and political education once again highlights the importance of ideological risk prevention work.The lack of data explainability may trigger real-life challenges such as identity mirroring,narrative absence,and value fission in educational digitization.Therefore,we can start from two aspects:constructing explainable artificial intelligence goals for educational digital applications and enhancing the digital literacy of digital education,in order to enhance the explainability of data in artificial intelligence,solve the practical de-mands of educational digitization,promote the integration of artificial intelligence and educational innovation,and achieve the improvement and efficiency of educational work.关键词
数据可解释性/生成式人工智能/意识形态风险防范Key words
data explainability/generative AI/ideological risk prevention分类
信息科学与系统科学引用本文复制引用
黄闪闪,杨露岩..数据可解释性:教育数字化转型面临的新问题域[J].华侨大学学报（哲学社会科学版）,2025,(3):5-17,13.基金项目
国家社会科学基金青年项目"数字思政中学习成效评价问题研究"(24CKS069) （24CKS069）
