Main Article Content

Abstract

With the development of big data technology, it has become a trend to analyze students’ behavioral data to promote teachers’ precision teaching. In this context, this study cooperates with a senior high school geography teacher in Changsha City, Hunan Province, collects the students’ examination data from 2020 to 2021 academic year with the help of Zhixue.com, divides the students into four groups according to the examination results, and takes regional geography knowledge as an example to analyze the weak knowledge points, discipline core literacy and practical application ability of students at all levels. Based on the analysis results, the improvement strategies of teachers’ subsequent precision teaching were proposed, including students’ stratification should be carried out according to daily performance and examination results; The weak knowledge points of students of different grades overlap and differ, so teachers should carry out targeted teaching for students of different grades. At the same time, the multi-level teaching method should be improved to enhance students’ discipline core literacy. Pay attention to contact life reality, enhance students’ practical application ability.

Keywords

Regional geography Big data Hierarchical teaching Precision teaching Strategy discussion

Article Details

How to Cite
Yuan, R., Gao, Y., & Li, J. (2023). Research on Decision-Making Strategies of Regional Geography Teaching in High School Based on Data-Driven. Enthusiastic : International Journal of Applied Statistics and Data Science, 3(1), 35–47. https://doi.org/10.20885/enthusiastic.vol3.iss1.art4

References

  1. M. Khorsandi, A. Kobra, M. Ghobadzadeh, M. Kalantari, and M. Seifei, “Online vs Traditional Teaching Evaluation: A Cross-Sectional Study,” Procedia - Social and Behavioral Sciences, vol. 46, pp. 481–483, 2012, doi: https://doi.org/10.1016/j.sbspro.2012.05.145.
  2. D. Lin, “Research on Layered Teaching Strategy of Junior Middle School Mathematics from the Perspective of Precision Teaching [Jingzhun jiaoxue shiye xia chuzhong shuxue fenceng jisoxue celue yanjiu],” Zhongxue Shuxue, 2021.
  3. S. Chen, “Research on the Diagnosis and Transformation Strategies of Biological Myths Based on the Zhixue Network Evaluation System [Jiyu zhixuewang cepingxitong jinxing shengwu xueke misigainian zhenduan ji zhuanbiancelue de yanjiu],” Master thesis, Yunnan Normal University, Yunnan, China, 2020.
  4. L. Ye, “The History, Current Situation and Reflection of Hierarchical Teaching [Fenceng jiaoxue de lishi, xianzhuang jiqi fansi],” Master thesis, Inner Mongolia Normal University, Hohhot, China, 2003.
  5. J. Luo and Y. Shi, “The Hierarchical Teaching for Middle School Mathematics Based on Rain Classroom,” Advances in Education, vol. 10, no. 3, pp. 350–353, 2020, doi: 10.12677/AE.2020.103058.
  6. L. Guo, X. Yang, and Y. Zhang, “Data-Driven Precision Teaching Five-Dimensional Support Service Framework Design and Practice Research [Shuju qudong de jingzhunjiaoxue wewei zhichi fuwu kuangjia sheji yu shijian yanjiu],” Dianhua jiaoyu yanjiu, pp. 85–92, 2021.
  7. Y. Xianmin, (2018). Blue Book on Big Data Development of Basic Education in China. Available: https://cit.bnu.edu.cn/docs/2018-05/20180531094358476837.pdf, 2018.
  8. J. Feng, W. Zhao, and F. Wang, “Research and Practice of Precision Teaching of Computer Basic Courses Based on Big Data,” International Journal of Education and Teaching Research, vol. 1, no. 4, 2020.
  9. J. Jia, “A Preliminary Exploration of Precision Teaching Based on the Support of ‘Intelligence Network’: Taking ‘Theorem of Kinetic Energy and Kinetic Energy’ as an Example [Jiyu ‘zhixuewang’ de jingzhunjiaoxue chutan: yi ‘dongneng he dongnengdingli’ weili],” Wuli tongbao, pp. 113–118, 2021.
  10. H. Wu and Z. Peng, “The Experiment of Group Teaching Method in Modern China [Fentuan jiaoxuefa zai jindai zhongguo de shiyan],” Kecheng jiaocai jiaofa, pp. 53–58, 1999.
  11. R.T. Xue, “Research on the Hierarchical Teaching Mode of English in Higher Vocational Colleges,” International Journal of Education and Technology, vol. 1, no. 1, 2020.
  12. Q. Wang, S. Sang, and Z. Chai, “Strategic Teaching Improves the Benefit of Geography Classroom [Fenceng shijiao tigao dili ketang xiaoyi],” Zhongguo jiaoyujishu zhuangbei, 2018.
  13. T. Liu, “Research on the Hierarchical Design of Mathematics Assignments in Junior High School Based on Hierarchical Teaching [Jiyu fencengjiaoxue xia de chuzhong shuxue zuoye fenceng sheji yanjiu],” Jiaoyu xiandaihua, pp. 370–372, 2018.
  14. M. Mao, “The Construction and Application of Regional Geography Teaching in High School Based on Regional Cognition [Jiyu quyu renzhi de gaozhong quyudili jiaoxue jiangou yu yingyong],” Master thesis, Shandong Normal University, Jinan, China, 2018.
  15. National Geographic, http://www.nationalgeographic.com/xpeditions/lessons/matrix.html, 2002.
  16. Y. Han, Z. Zhang, and R. Zhao, Theory and Method of Regional Geography [Quyu dili lilun yu fangfa]. Xi’an, China: Shaanxi Normal University Press, 1993.
  17. H. Wang, “Analysis of the Current Situation of Regional Geography (Junior High School) Teaching in Senior Two and Research on Improving Countermeasures [Gaoer quyudili (chuzhong) jiaoxue xianzhuang fenxi ji tisheng duice yanjiu],” Master thesis, Shaanxi Normal University, Xi’an, China, 2015.
  18. C. Zhu, and J. Zhang, “Research on the Current Situation of Learning Situation Analysis in Geography Teaching Design - Qualitative Text Analysis Based on NVIVO12 [Dili jiaoxue sheji zhong de xueqing fenxi xiangzhuang yanjiu – jiyu NVIVO12 de zhixing wenben fenxi],” Dili jiaoxue 22, pp. 8–12, 2019.
  19. X. Liu, and X. Chen, “Several Issues that Should Be Paid Attention to in Regional Geography Teaching [Quyu dili jiaoxue ying zhongshi de jige wenti],” Dili jiaoyu, pp. 133–135, 2015.
  20. ”Implementation Plan for Comprehensive Reform of College Entrance Examination in Hunan Province,” People’s Government of Hunan Province, 2019. Available: http://www.hunan.gov.cn/xxgk/wjk/szfwj/
  21. /t20190423_5320045.html.
  22. “Geography Curriculum Standards for Senior High Schools (2017 Edition, 2020 Revision), the Ministry of education of the people’s Republic of China, 2020. Availabel: http://www.szkegao.net/_upload/news/2020-09-08/202009081115431930.pdf.
  23. C. Liu, “Research on Comprehensive Thinking Evaluation of Geographical Core Literacy Cultivation in Senior High Schools [Gaozhong dili hexinsuyang peiyang de zonghe siwei pingjia yanjiu],” Master thesis, Central China Normal University, Wuhan, China, 2020.
  24. R. Dong, “On the Cultivation of the Thinking Ability of Geography under the Core Literacy [Lun hexinsuyang xia dili xueke siwei nengli de peiyang],” Zhongxiaoxue jiaoshi peixun, pp. 63–67, 2021.
  25. Y. Hu, “Research on Regional Geography Teaching Evaluation in Senior High Schools Based on Subject Core Competencies [Jiyu xueke hexinsuyang de gaozhong quyudili jiaoxue pingjia yanjiu],” Master thesis, Yunnan Normal University, Yunna, China, 2021.
  26. M. San, “Analysis and Teaching Enlightenment of College Entrance Examination Geography Questions Under the Guidance of Geographic Core Literacy [Dili hexinsuyang daoxiang xia de gaokao dili shiti fenxi yu jiaoxue qishi],” Master thesis, Liaoning Normal University, Liaoning, China, 2021.
  27. L. Shi, “Cultivation of Students’ Ability to Read Pictures in High School Geography Teaching [Gaozhong dili jiaoxue zhong dui xuesheng dutu nengli de peiyang],” Xuezhoukan, 2020.
  28. Y. Xia, “Cultivation and Training of the Ability to Obtain and Interpret Information Based on the Core Literacy of the Comprehensive Geography Questions in the College Entrance Examination [Jiyu hexinsuyang de gaokao dili zongheti xinxi huoqu jiedunengli de peiyang yu xunlian],” Hnazi wenhua, pp. 193–195, 2019.
  29. J. Cheng, “An Example of the Ability to ‘Mobilize and Apply Geographic Knowledge and Basic Skills’ [Litan ‘diaodong he yunyong dili zhishi, jiben jineng’],” Jiaoxue kaoshi, pp. 71–73, 2020.
  30. Z. Yan, Z, “A Brief Discussion on the Exploration of the Stratified Teaching of Mathematics in Weak Schools in Junior High Schools [Qiantan chuzhong boruo xuexiao shuxue fenceng jiaoxue de tanjiu],” Kexue zixun (jiaoyu keyan), pp. 174, 2019.
  31. H. Wang, “The Construction and Practice Research of Data-Driven Precision Teaching Model,” 2020 International Symposium on Educational Technology (ISET), 2020, pp. 43–47, doi: 10.1109/ISET49818.2020.00019.