人工智能赋能新时代教育评价改革的逻辑、边界与路径——构筑智慧教育评价生态的变革之路

The Logic,Boundaries,and Pathways of AI-empowered Educational Evaluation Reform in the New Era:Constructing a Transformative Path for Intelligent Educational Evaluation Ecosystems

日新月异的人工智能技术深刻影响着新时代教育评价改革的前行进程。在教育评价场景的转换中,人工智能赋能显著推动了过程评价的智慧化、增值评价的精准化、结果评价的全面化以及综合评价的立体化。研究阐释了人工智能赋能新时代教育评价改革的逻辑机理,认为人工智能在教育评价中的应用主要涉及分类评价策略的设计、协同整合能力的构建、评价工具效果的强化以及评价保障体系的优化。为实现由工具主义逻辑向立德树人根本任务的转变迭代,需要推动评价原则落地、专业建设强化、评价结果应用、评价过程监测和技术实践纠偏等策略的有效实施。当前,人工智能技术引入教育评价还面临伦理与隐私问题、人机失衡、技术依赖和模型偏见等风险挑战,推进新时代教育评价改革高质量推进,必须构筑智能、安全、协同、共融、灵活的智慧评价生态。

The rapidly evolving artificial intelligence(AI)technology is profoundly influencing the progress of educational evaluation reform in the new era.In the transformation of educational evaluation scenarios,AI empowerment has significantly promoted the intellectualization of process evaluation,the precision of value-added evaluation,the comprehensiveness of outcome evaluation,and the multi-dimensionality of integrated evaluation.This paper elucidates the logical mechanisms of AI empowerment in the new era of educational evaluation reform,arguing that the application of AI in educational evaluation primarily involves the design of classified evaluation strategies,the construction of collaborative integration capabilities,the enhancement of evaluation tool effectiveness,and the optimization of evaluation support systems.To achieve the iterative transformation from instrumentalist logic to the fundamental task of moral education,we need to effectively implement strategies such as grounding evaluation principles,strengthening professional development,applying evaluation results,monitoring the evaluation process,and correcting technical practices.Currently,the introduction of AI technology into educational evaluation faces risk challenges including ethical and privacy issues,human-machine imbalance,technological dependence,and model bias.To advance high-quality progress in educational evaluation reform in the new era,it is imperative to construct an intelligent,secure,collaborative,inclusive,and flexible smart evaluation ecosystem.