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指向深度学习的初中数学导学案环节的优化策略
Optimization Strategy of Junior Middle School Mathematics Guidance Case Pointing to Deep Learning

DOI: 10.12677/AE.2022.126310, PP. 2035-2041

Keywords: 深度学习,数学导学案
Deep Learning
, Mathematics Guidance Case

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Abstract:

深度学习即学习者源于自身动机,通过探究具有挑战性,有意义的问题情境,进而深度理解知识,构建知识网络并具备对知识的迁移应用能力的学习。而通过对数学导学案“知识地图”、“学习目标”、“学习重难点”、“自主预习”、“合作探究”、“达标检测”、“反思评价”七个环节的优化有助于促进学生的深度学习。
Deep learning refers to the learning that learners derive from their own motivation, explore challenging and meaningful problem situations, and then deeply understand knowledge, build knowledge network and have the ability to transfer and apply knowledge. The optimization of the seven links of mathematics guidance case “knowledge map”, “learning objectives”, “learning difficulties”, “independent preview”, “cooperative exploration”, “standard detection” and “reflective evaluation” will help to promote students’ indepth learning.

References

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