eISSN 2097-6054 ISSN 1672-9234 CN 11-5289/R
Responsible Institution:China Association for Science and Technology
Publishing:Chinese Nursing Journals Publishing House Co.,Ltd.
Sponsor:Chinese Nursing Association
Source journal for Chinese Science Citation Database
China Academic Journals Full-text Database
China Core Journal Alternative Database
Scopus
Research Paper

Data-driven teaching applied in Pediatric Nursing

  • Lin-yan XU ,
  • Lei ZHAO ,
  • Ji-hua ZOU ,
  • Ke-wen ZHU
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  • College of Medicine and Health,Lishui,323000,China

Received date: 2018-11-23

  Online published: 2019-05-30

Abstract

Objective To explore the effects of data-driven teaching applied in Pediatric Nursing. Methods The data-driven teaching was adopted to teach the nursing undergraduates of Grade 2015 in the experimental group(n=89). We built up the characteristics picture of each student based on the data collected,made personalized assignments,taught in the classroom,and examined their performance. The nursing undergraduates of Grade 2014 in the control group(n=87) were taught by the traditional online and offline teaching model. At the end of the course,students’ online learning data and their evaluation of the course were compared between the two groups. Results The total number of students who used online resources was 378. The total number of discussion participation was 546. The examination score of the experimental group was(75.55±20.45),while it was(69.35±19.80)of the control group. The difference of the examination scores between the two groups was statistically significant(P<0.05).The total score of students’ evaluation to the course of the experimental group was higher than that of the control group(P<0.05). Conclusion Data-driven teaching can meet the learning needs of students’ individualized development,strengthen the interaction between instructors and students,and improve the teaching effects.

Cite this article

Lin-yan XU , Lei ZHAO , Ji-hua ZOU , Ke-wen ZHU . Data-driven teaching applied in Pediatric Nursing[J]. Chinese Journal of Nursing Education, 2019 , 16(5) : 325 -328 . DOI: 10.3761/j.issn.1672-9234.2019.05.001

References

[1] 任红杰 . 基于大数据的精准教学:生成路径与实现条件[J]. 黑龙江高教研究, 2017(9):165-168.
[2] 教育部 . 教育部关于印发《教育信息化2.0行动计划》的通知[EB/OL].[2019-03-05]. http://www.moe.gov.cn/srcsite/A16/s3342/ 201804/t20180425_334188.html.
[3] 余从刚 . 数据驱动的设计问题求解[D]. 长沙:湖南大学, 2017.
[4] 杨现民, 骆娇娇, 刘雅馨 , 等. 数据驱动教学:大数据时代教学范式的新走向[J]. 电化教育研究, 2017,38(12):13-20,26.
[5] 吴林静, 劳传媛, 刘清堂 , 等. 网络学习空间中的在线学习行为分析模型及应用研究[J]. 现代教育技术, 2018,28(6):46-53.
[6] 张艳云 . 混合式教学在基础护理学课程中的应用[J]. 中华护理教育, 2018,15(3):196-199.
[7] 张忻忻, 牟智佳 . 数据化学习环境下面向个性化学习的精准教学模式设计研究[J]. 现代远距离教育, 2018(5):65-72.
[8] 姚亦飞, 于繁华, 逯启荣 . 基于考核目标的学习推荐算法[J]. 长春师范大学学报, 2019,38(2):9-14.
[9] 祝智庭 . 智慧教育新发展:从翻转课堂到智慧课堂及智慧学习空间[J]. 开放教育研究, 2016,22(1):18-26,49.
[10] 李锋, 王吉庆 . 旨在促进学习者发展的在线评价:伴随式的视角[J]. 中国电化教育, 2018(5):74-79.
[11] 祝睿 . 基于碎片化学习的混合教学在成人护理课程中的应用[J]. 中华护理教育, 2018,15(8):601-604.
[12] 马丽丽, 李春香, 杨惠敏 . 混合式教学在基础护理学理论教学中的应用研究[J]. 中华护理教育, 2018,15(1):19-22.
[13] 陈春明 . 基于高中数学差异性教学的思考[J]. 数学教学通讯, 2018(3):50-51.
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