| AI赋能教师教育评价的内涵和路径 |
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| 作者姓名： | 王争录 张博 |
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| 作者单位： | 1. 新疆师范大学教育科学学院，新疆乌鲁木齐 830017; 2.永恒大学研究生院，菲律宾马尼拉 0900;3.长春人文学院商学院，吉林长春 130017 |
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| 基金项目： | 教育部人文社科项目“新法背景下事业法人民办高校的治理主体选择研究”(17YJC880043);2022 年度吉林省高教会重点课题“数字化时代会计实训混合式教学模式研究”(JGJX2022B60)。 |
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| 摘 要： | AI赋能教师教育评价的内涵是AI与教师教育评价进行深度有机融合，在特定教师教育价值观的指导下,依据明确的教师教育目标，使用AI技术和方法,对所实施的各种教育活动、教育过 程和教育结果进行科学判定。与以往教师教育评价相比，AI赋能教师教育评价在评价模型、参与主体、获取数据、分析诊断、评价反馈等方面具有鲜明特征。AI赋能教师教育评价的框架由五个层面和一个保障体系构成。在实践中，AI赋能教师教育评价可通过更新观念、规范标准、挖掘数据、支持专业等路径整体推进，以构建智能高效的教师教育评价体系。
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| 关 键 词： | AI 教师评价 教育评价 |
Connotation and Path of AI-enabled Teacher Education Evaluation |
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| Authors: | WANG Zhenglu ZHANG Bo |
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| Institution: | 1. College of Educational Science, Xinjiang Normal University, Wulumuqi, Xinjiang 830017;
2. Graduate School, University of Perpetual Help System DALTA, Manila, Philippines 0900; 3. Business School, Changchun Humanities and Sciences College, Changchun, Jilin 130117 |
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| Abstract: | The connotation of AI-enabled teacher education evaluation is the process of deep organic integration of AI and teacher education evaluation. It refers to the process of scientifically judging various education activities, education process and education results under the guidance of specific values, on the basis of teacher education goal, and through the use of AI techniques and methods. Compared with previous teacher education evaluation, AI-enabled teacher education evaluation has characteristics in evaluation model, participants, data acquisition, analysis and diagnosis, evaluation and feedback. The framework of AI-enabled teacher education evaluation consists of five levels and one guarantee system. In practice, AI-enabled teacher education evaluation can take the path of updating ideas, normalizing standards, data mining and professional support to build an intelligent and efficient teacher education evaluation system. |
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| Keywords: | AI Teacher evaluation Educational evaluation |
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