On the Effect of Reverse Unit Teaching Design in Senior High School Mathematics Teaching in the Perspective of Deep Learning

ZHAO Ping; GUO Zelin

Journal of South China normal University (Social Science Edition) > 2022 > (3): 54-65.

ZHAO Ping, GUO Zelin. On the Effect of Reverse Unit Teaching Design in Senior High School Mathematics Teaching in the Perspective of Deep Learning[J]. Journal of South China normal University (Social Science Edition), 2022, (3): 54-65.

Citation:

PDF (2163 KB)

On the Effect of Reverse Unit Teaching Design in Senior High School Mathematics Teaching in the Perspective of Deep Learning

ZHAO Ping¹,
GUO Zelin²

More Information

Received Date: February 01, 2022
Available Online: May 30, 2022

Graphical Abstract

Abstract

Abstract

"Deep learning" is an educational concept of promoting students' in-depth understanding, knowledge application and creation. The unit teaching design in this perspective provides an important reference for teaching practice. Based on the theory of "promoting understanding through design", a goal-oriented and evaluation-first "reverse unit teaching design" model is constructed, the basic implementation path of "content reconstruction — factor analysis — goal setting — evaluation design — activity design — practice and reflection" is proposed, and its effect is tested with the radian system in Concepts of Trigonometric Function in senior high school mathematics for example. The results show that the teaching design model is helpful to open up a new path for improving the efficiency of unit teaching and promoting students' real in-depth learning.
- promoting understanding through design,
- unit teaching,
- reverse instructional design,
- deep learning

FullText(HTML)

References (20)

References

[1]	崔允漷. 学科核心素养呼唤大单元教学设计[J]. 上海教育科研, 2019(4): 1. https://www.cnki.com.cn/Article/CJFDTOTAL-SJYY201904002.htm
[2]	刘月霞, 郭华. 深度学习: 走向核心素养(理论普及读本)[M]. 北京: 教育科学出版社, 2018: 72.
[3]	吕世虎, 杨婷, 吴振英. 数学单元教学设计的内涵、特征以及基本操作步骤[J]. 当代教育与文化, 2016(4): 41-46. doi: 10.3969/j.issn.1674-5779.2016.04.008
[4]	钟启泉. 学会"单元设计"[N]. 中国教育报, 2015-06-12(9).
[5]	邵朝友, 韩文杰, 张雨强. 试论以大观念为中心的单元设计——基于两种单元设计思路的考察[J]. 全球教育展望, 2019(6): 74-83. doi: 10.3969/j.issn.1009-9670.2019.06.007
[6]	章建跃. 数学学科核心素养导向的"单元—课时"教学设计[J]. 中学数学教学参考, 2020(13): 5-12. https://www.cnki.com.cn/Article/CJFDTOTAL-ZSJC202013005.htm
[7]	李润洲. 指向学科核心素养的教学设计[J]. 课程. 教材. 教法, 2018(7): 35-40. https://www.cnki.com.cn/Article/CJFDTOTAL-KJJF201807006.htm
[8]	胡久华. 以深度学习促核心素养发展的化学教学[J]. 基础教育课程, 2019(Z1): 70-78. https://www.cnki.com.cn/Article/CJFDTOTAL-JCJK2019Z1013.htm
[9]	格兰特·威金斯, 杰伊·麦克泰格. 追求理解的教学设计: 第2版[M]. 闫寒冰, 宋雪莲, 赖平, 译. 上海: 华东师范大学出版社, 2017: 13-21.
[10]	叶海龙. 逆向教学设计简论[J]. 当代教育科学, 2011(4): 23-26. doi: 10.3969/j.issn.1672-2221.2011.04.007
[11]	埃里克·詹森, 李安·尼克尔森. 深度学习的7种有力策略[M]. 温暖, 译. 上海: 华东师范大学出版社, 2010: 1-7.
[12]	魏强. 新课改下高中数学单元教学设计的实践探索[J]. 数学教学研究, 2017(2): 22-24. doi: 10.3969/j.issn.1671-0452.2017.02.006
[13]	喻平. 数学单元结构教学的四种模式[J]. 数学通报, 2020(5): 1-8. https://www.cnki.com.cn/Article/CJFDTOTAL-SXTB202005001.htm
[14]	丁益民. 实施中观教学, 促进深度学习[J]. 数学通讯, 2020(20): 6-8. https://www.cnki.com.cn/Article/CJFDTOTAL-SXTX202020003.htm
[15]	章飞, 顾继玲. 单元教学的核心思想与基本路径[J]. 数学通报, 2019(10): 23-28. doi: 10.3969/j.issn.0583-1458.2019.10.006
[16]	陈彩虹, 赵琴, 汪茂华, 等. 基于核心素养的单元教学设计——全国第十届有效教学理论与实践研讨会综述[J]. 全球教育展望, 2016(1): 121-128. https://www.cnki.com.cn/Article/CJFDTOTAL-WGJN201601012.htm
[17]	胡凤娟, 吕世虎, 张思明, 等. 《普通高中数学课程标准(2017年版)》突破与改进[J]. 人民教育, 2018(9): 56-59. https://www.cnki.com.cn/Article/CJFDTOTAL-RMJY201809020.htm
[18]	翁永电. 课堂评价视角——学生学习状态观察分析[J]. 上海教育科研, 2006(3): 68-69. https://www.cnki.com.cn/Article/CJFDTOTAL-SJYY200603025.htm
[19]	刘长明. 基于核心素养的"三角函数"教材设计与教学思考[J]. 中学数学教学参考, 2020(Z1): 50-53. https://www.cnki.com.cn/Article/CJFDTOTAL-ZSJC2020Z1013.htm
[20]	郭元祥. 深度学习: 本质与理念[J]. 新教师, 2017(7): 11-14. https://www.cnki.com.cn/Article/CJFDTOTAL-XIJS201707007.htm

Cited By

Get Citation

PDF

XML

Article views (704) PDF downloads (977)

Turn off MathJax

Article Contents

Abstract

References

On the Effect of Reverse Unit Teaching Design in Senior High School Mathematics Teaching in the Perspective of Deep Learning

Abstract

References

Catalog

Export File

Citation

Format

Content