人工智能赋能教育评价的挑战与实践路径

Challenges and Practical Paths of Artificial Intelligence Enabled Educational Evaluation

摘要: 在教育数字化转型的背景下，人工智能凭借其强大的数据收集、分析、处理能力，为智能技术赋能教育评价带来了新的内驱力。随着ChatGPT、DeepSeek等人工智能的深入发展，推动着教育评价主体多元协同、教育评价内容丰富革新、教育评价方式动态立体。但与此同时，它也会带来一系列的风险挑战，包括技术至上带来的人文属性缺失，评价标准缺位引起的评估偏差，数据安全与隐私伦理风险，区域教育数字化发展失衡。最后，文章在此基础上提出人工智能赋能教育评价的实践路径，即提高评价主体智能素养，建立统一智能评价标准体系，建立多维度监督保障体系，加强区域教育数字化发展投入。

Abstract: In the context of the digital transformation of education, artificial intelligence, with its powerful data collection, analysis, and processing capabilities, has brought a new internal driving force for intelligent technology-enabled educational evaluation. With the in-depth development of ChatGPT, DeepSeek and other AI, it promotes the multiple synergies of educational evaluation subjects, the rich innovation of educational evaluation contents, and the dynamic and three-dimensional educational evaluation methods. However, at the same time, it also brings a series of risk challenges, including the lack of humanistic attributes brought about by the supremacy of technology, the assessment bias caused by the lack of evaluation standards, the risk of data security and privacy ethics, and the imbalance of regional education digital development. Finally, on this basis, the article proposes a practical path for AI-enabled educational evaluation, namely, to improve the intelligent literacy of evaluation subjects, to establish a unified intelligent evaluation standard system, to establish a multi-dimensional supervision and guarantee system, and to strengthen the investment in the digital development of regional education.