大数据支持的深度学习活动设计研究——基于“WEB应用技术”课程的实践

The Research on Deep Learning Activity Design Supported by Big Data:Based on the Practice of WEB Application Technology Course

以技术促进学习为出发点,以促进学习者深度学习为目标,梳理影响深度学习的要素关系,解析具有大数据特色的深度学习场域模型,并基于此模型提出深度学习活动设计的实践思路与应用原则,以“WEB应用技术”课程为例,介绍基于深度学习场域模型的课程教学实践,最后从问卷后测分析、访谈情况分析及过程性学习数据分析三个层面探索实施效果。

With technology promoting learning as the starting point and promoting learners’deep learning as the goal,this paper sorts out the relationship between the elements that affect deep learning and analyzes the deep learning field model with the characteristics of big data.Based on this model,practical ideas and application principles of deep learning activity design are proposed.Taking WEB application technology course as an example,course teaching practice based on deep learning field model is introduced.Finally,this paper explores the implementation effects by data from three aspects:questionnaire post-test analysis,interview analysis and process learning data analysis.