华东师范大学学报(教育科学版) ›› 2021, Vol. 39 ›› Issue (8): 45-56.doi: 10.16382/j.cnki.1000-5560.2021.08.004
彭晓玲, 吴忭
出版日期:
2021-08-01
发布日期:
2021-08-04
基金资助:
Xiaoling Peng, Bian Wu
Online:
2021-08-01
Published:
2021-08-04
摘要:
精准教学的教育理念已成为各国共识,智慧教育环境下海量多模态学习数据的生成也使数据驱动的精准教学范式转变成为可能,但目前运用数据解决复杂教学问题的实践存在许多挑战,其突破点在于培养教师的数据智慧。本文从教师数据智慧的角度回答了三个问题:是什么、如何培养以及有哪些影响因素。首先,数据智慧是教学实践经验、数据分析技能、学习科学理论三者的有机整合,其内涵在于数据到智慧的递进转化;在明晰数据智慧的实现路径是掌握数据探究循环的基础上,回应了“培养什么”的问题,并构建了从职前准备到职后发展的培养路径,即在职前阶段弱化学科界限、革新课程体系、创设“实境”学习环境,在职后阶段创新培训模式、组建数据实践共同体,在协作探究和反思性实践中发展集体数据智慧;最后,考虑到数据智慧的培养是一个复杂的、多方联动的动态过程,对其影响因素和作用机制进行了剖析,为教师数据智慧的培养策略提供借鉴,并提出了善用数据智慧的观点。
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Xiaoling Peng, Bian Wu. How is data-driven precision teaching possible? From the perspective of cultivating teacher’s data wisdom[J]. Journal of East China Normal University(Educational Sciences), 2021, 39(8): 45-56.
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