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可信性作为教育知识生产的本体论前提,关联教育现代化的伦理根基与实践效能。在数智技术驱动下,教育知识生产正由经验依附转向数据-算法协同,并引发数据、算法与主体应用层面的机制重构。然在实践中,数据基础失衡致使价值偏见被嵌入其中,算法黑箱使知识的科学性和教育适切性被削弱,判断权的让渡导致应用主体的认知能力弱化,共同损害了教育知识生产的可信性。破解可信性风险,需超越工具主义的思维,构建内嵌教育逻辑的治理生态,针对数据、算法以及应用主体的特征展开治理。只有这样才能调和数智效率与教育本体之间的矛盾,实现知识生产从技术赋能向育人价值跃迁。
Abstract：Trustworthiness, as the ontological premise of educational knowledge production, is deeply intertwined with the ethical foundation and practical efficacy of educational modernization. Driven by digital and intelligent technologies, educational knowledge production is shifting from relying on experience to data-algorithm collaboration, triggering a mechanism reconstruction at the data, algorithm, and subject application levels. However, in specific practice, imbalances in the data foundation lead to the embedding of value biases, algorithm black boxes weaken the scientific nature and educational relevance of knowledge, and the transfer of judgment rights weakens the cognitive ability of application subjects, collectively undermining the trustworthiness of educational knowledge production. To address these trustworthiness risks, it is necessary to transcend instrumental thinking, build a governance ecosystem embedded with educational logic, and implement governance targeted at the characteristics of data, algorithms, and application subjects. Only in this way can we reconcile the contradiction between digital and intelligent efficiency and educational ontology, and achieve a leap from technology empowerment to educational value in knowledge production.
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基本信息:
中图分类号:G434
引用信息:
[1]李欢,曹福臣.数智时代教育知识生产的可信性风险与治理路径[J].中国电化教育,2026,No.475(08):95-100.
基金信息:
安徽省教育厅科学研究特需专项项目“Gen AI赋能教育知识生产的可信性风险与治理路径研究”（项目编号：2025AHGXSK50062）研究成果
2026-08-06
2026-08-06