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    数据循证赋能学习设计的系统模型与关键过程

    A System Model and Key Processes for Data-driven Evidence-based Learning Design

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【作      者】:

王明娣, 陈小涵


【关 键 词 】:

数据驱动; 学习分析; 循证学习设计; 系统模型; 关键过程


【栏      目】:

课程与教学


【中文摘要】:

数智化时代,学习分析与学习设计的交互作用具有优化学习设计效果的潜力,数据循证得以支持并赋能学习设计变革。在此背景支持下,学习设计与学习分析之间究竟如何进行深度交互并在数据驱动下实现循证改进?针对该问题,研究分别从学习设计、学生发展以及教师成长三个视角探讨了数据循证赋能学习设计的多重价值,进而构建了数据循证赋能学习设计系统模型(Data-EDT),通过“证据系统”“学习设计系统”“智能技术系统”三重系统交互作用以展现学习设计与学习分析的动态关系,并揭示了基于设计视角的落地关键过程:前期准备阶段为“教师与研究者协作共创设计产品的过程”;中期实践阶段为“教师在真实学习情境中的设计实施过程”;后期反思阶段为“教师基于设计评估的自我深度反思过程”;终期生成阶段为“教师基于设计迭代的双重角色生成过程”,以此支持教师的循证学习设计实践,进而有效促进数智化时代的学习设计变革。


【英文摘要】:

In the era of digital intelligence, the interaction between learning analytics and learning design has the potential to optimize the effectiveness of learning design, and data-based evidence can support and empower the transformation of learning design. In this context, how can learning design and learning analytics deeply interact to achieve evidence-based improvement through data-driven approaches? To address this issue, the study explores the multiple values of implementing evidence-based learning design driven by data from three perspectives of learning design, student development, and teacher growth. Subsequently, a data-driven evidence-based learning design system model(Data-EDT) is constructed. Through the interaction of three systems ("evidence system" "learning design system" "intelligent technology system"), the model demonstrates the dynamic relationship between learning design and learning analytics, and reveals the key processes of implementation from a design perspective: the preparatory stage is "the process of teachers and researchers collaboratively creating design products"; the mid-term implementation stage is "the process of teachers implementing plans in real learning contexts"; the post- reflection stage is "the process of teachers' in-depth self-reflection based on design evaluation'. And the final generation stage is "the dual-role generation process through design iteration for teachers", which supports teachers' evidence-based learning design practice and thereby effectively promotes the transformation of learning design in the digital intelligence era.

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