中国教育类核心期刊 CSSCI来源期刊 RCCSE中国权威学术期刊

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    数智赋能的循证式教师培训:为何循证、 证从何来、如何循证

    Evidence-based Teacher Training Empowered by Digital Intelligence: Why, Where and How

【作      者】:

郑 新,马瑞琦,李永杰,张 靖,武铁砚


【关 键 词 】:

教师培训; 数智技术; 循证实践; 多模态数据; 教育数字化


【栏      目】:

学科建设与教师发展


【中文摘要】:

教师队伍建设是教育高质量发展的重要影响因素,当前教师培训质量提升仍存在诸多桎梏,亟待面向精准、走向循证。研究剖析了教师培训走向循证的必要性,探讨了教师培训中潜在的证据类型和证据获取的基本路径,提出了数智赋能循证式教师培训的现实路径,如以证剖需,平台化数据智能分析赋能培训教师需求的真切揭示;借证定案,培训案例及专家意见赋能培训方案制定更趋精准化;立证培优,规模化多模态数据收集与分析赋能培训过程性优化;引证论效,常态化证据应用有效支撑培训绩效综合分析与判定;化证促参,多元化培训证据复用助力提升教师培训参与积极性等。


【英文摘要】:

The construction of faculty is an important factor influencing the high-quality development of education. Currently, there are still many constraints on the quality improvement of teacher training, and there is an urgent need to move towards precision and evidence-based training. This paper analyzes the necessity of teacher training moving towards evidence-based practices, explores the potential types of evidence and basic pathways of evidence acquisition in teacher training. It proposes a realistic path for evidence-based teacher training empowered by digital intelligence, such as dissecting the needs with evidence, the intelligent analysis of platform-based data empowering the revelation of the genuine needs of training teachers; determining cases with evidence, training cases and expert opinions empowering the more precise formulation of training programs; cultivating excellence with evidence, large-scale multimodal data collection and analysis empowering the optimization of the training process; discussing the effect with evidence, the application of normalized evidence effectively supporting the comprehensive analysis and judgment of training performance; and promoting participation with evidence, the reuse of diversified training evidence helping to enhance teachers' enthusiasm for training.

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