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数字化技术赋能教师有意义评价的逻辑架构与生成机制

The Logical Architecture and Generation Mechanism of Meaningful Evaluation for Teachers Empowered by Digital Technology
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摘要 教师评价作为形塑教师专业发展路径和培育教师发展生态的有效工具,在效率主义主导的评价逻辑中被异化。有意义教师评价建立在教师是一种复杂生命体的隐喻之上,以促进投入、激发活力和提升价值为取向,通过教师自主参与、体验优化、多元主体协同,促使教师评价意义的回归。数字化技术的接入,强化教师评价的自主参与,支持评价方式的改变,通过数据、证据、流程变化等形式帮助教师摆脱标准化空间、线性时间等多重约束,为教师有意义评价提供了支撑。基于此,文章建构了以数据、算法和算力为基础的教师有意义评价运行架构,实现以数字化技术为基础的教师有意义评价,其生成需要教师能力建构机制、组织适配机制、发展控制机制的共同作用。 Teacher evaluation, as an effective tool to shape the path of teacher professional development and cultivate the ecosystem of teacher development, has been alienated in the logic of teacher evaluation led by efficiencyism. Meaningful teacher evaluation is based on the metaphor that teacher is a kind of complex living entity, with a focus on promoting input, stimulating vitality, and enhancing value. It promotes teachers' independent participation, optimizing experiences, and collaborating with diverse subject values, and promotes the return of the meaning of teacher evaluation. The integration of digital technology strengthens teachers' independent participation in evaluation,supports changes in evaluation methods, and helps teachers get rid of multiple constraints of standardized space and linear time through data, evidence, and other means of objectifying actors, providing support for teachers' meaningful evaluation. Based on this, a meaningful teacher evaluation infrastructure based on data, algorithms, and computing power has been constructed, realizing meaningful teacher evaluation based on digital technology. Its generation requires the joint action of teachers' capacity construction mechanism, organizational adaptation mechanism, and development control mechanism.
作者 陈恩伦 吴南中 Chen Enlun;Wu Nanzhong(the School of Teacher Education,Southwest University,Chongqing 400715)
出处 《中国远程教育》 北大核心 2024年第4期69-80,共12页 Chinese Journal of Distance Education
基金 2021年重庆市高等职业教育教学改革研究项目“评价改革视角下职业教育公共课程教学立体评价整体架构与实践检验”(项目编号:Z211017)。
关键词 数字化技术 赋能 教师评价 人工智能 教师 digital technology empowerment teacher evaluation artificial intelligence teacher
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