Research on Data-driven Teaching Mode of Teachers

Wang Ping

doi:doi:10.11648/j.si.20190706.15

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Research on Data-driven Teaching Mode of Teachers

Wang Ping

Published in Science Innovation (Volume 7, Issue 6)

Received: 1 November 2019 Accepted: Published: 26 December 2019

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Abstract

With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. When data science and education science are deeply integrated, teaching activities will be more precise and personalized. This study first summarizes the data types of middle school students in teaching, then explores the combination mode of student data and teacher teaching at home and abroad, and finally gives the implementation mode and scheme of data-driven teaching in teacher teaching. According to the implementation plan of data-driven teaching, teachers can use the data generated by students to achieve accurate teaching. On the one hand, it can improve the teaching efficiency of teachers.On the other hand, it can grasp the short board of students' performance and improve students' performance.

Published in	Science Innovation (Volume 7, Issue 6)
DOI	10.11648/j.si.20190706.15
Page(s)	175-180
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Data Driven,Teaching of Teachers, Scientific Decision Making

References

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[2]	Nancy Love. Data Literacy for Teachers [M]. National Professional Resources Inc. / Dude Publishing， 2013：1-6。
[3]	祝智庭,彭红超,雷云鹤.解读教育数据智慧[J].开放教育研究,2017,23(05):21-29。
[4]	杨现民,唐斯斯,李冀红.发展教育大数据:内涵、价值和挑战[J].现代远程教育研究,2016(01):50-61。
[5]	Schildkamp, K., & Kuiper, W. (2010). Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and Teacher Education, 26, 482–496。
[6]	Schildkamp, K., Poortman, C. & Handelzalts, A. (2015). Data team for school improvement. School effectiveness and school improvement: An international journal o f research, policy and practice。
[7]	Boudett, Kathryn Parker, City, Elizabeth A., & Mumane, Richard J. (2010). Data Wise. Cambridge MA: Harvard Education Publishing Group。
[8]	Schildkamp, K., & Handelzalts, A. (2011). Collaborative data teams for school improvement. In International Congress on School Effectiveness and Improvement, Limassol, Cyprus。
[9]	Van Geel, Marieke, Trynke Keuning, Adrie J Visscher, and Jean-Paul Fox. "Assessing the Effects of a School-Wide Data-Based Decision-Making Intervention on Student Achievement Growth in Primary Schools." American Educational Research Journal 53.2 (2016): 360-94. Web。
[10]	Aikens, Deirdra, Murray, Frank, Archbald, Doug, Shelton, Daniel, and Wilson, Jackie. Implementing the Data Wise Process for School Improvement to Close the Achievement Gap (2015): ProQuest Dissertations and Theses. Web。
[11]	Schildkamp, Kim, Maaike Smit, and Ulf Blossing. "Professional Development in the Use of Data: From Data to Knowledge in Data Teams." Scandinavian Journal of Educational Research 63.3 (2019): 393-411. Web。
[12]	Swain, Joy, Philips, Carol R., Hunt, Karen, and Shecket, William. Elementary Teachers' Perceptions Regarding the Use of Data Decision-Making for Instructional Practice (2018): ProQuest Dissertations and Theses. Web。
[13]	邹逸,殷玉新.从“基于经验”到“数据驱动”:大数据时代教师教学决策的新样态[J].教育理论与实践,2018,38(13):52-56。

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Wang Ping. (2019). Research on Data-driven Teaching Mode of Teachers. Science Innovation, 7(6), 175-180. https://doi.org/10.11648/j.si.20190706.15

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ACS Style

Wang Ping. Research on Data-driven Teaching Mode of Teachers. Sci. Innov. 2019, 7(6), 175-180. doi: 10.11648/j.si.20190706.15

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AMA Style

Wang Ping. Research on Data-driven Teaching Mode of Teachers. Sci Innov. 2019;7(6):175-180. doi: 10.11648/j.si.20190706.15

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@article{10.11648/j.si.20190706.15,
  author = {Wang Ping},
  title = {Research on Data-driven Teaching Mode of Teachers},
  journal = {Science Innovation},
  volume = {7},
  number = {6},
  pages = {175-180},
  doi = {10.11648/j.si.20190706.15},
  url = {https://doi.org/10.11648/j.si.20190706.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20190706.15},
  abstract = {With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. When data science and education science are deeply integrated, teaching activities will be more precise and personalized. This study first summarizes the data types of middle school students in teaching, then explores the combination mode of student data and teacher teaching at home and abroad, and finally gives the implementation mode and scheme of data-driven teaching in teacher teaching. According to the implementation plan of data-driven teaching, teachers can use the data generated by students to achieve accurate teaching. On the one hand, it can improve the teaching efficiency of teachers.On the other hand, it can grasp the short board of students' performance and improve students' performance.},
 year = {2019}
}

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TY  - JOUR
T1  - Research on Data-driven Teaching Mode of Teachers
AU  - Wang Ping
Y1  - 2019/12/26
PY  - 2019
N1  - https://doi.org/10.11648/j.si.20190706.15
DO  - 10.11648/j.si.20190706.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 175
EP  - 180
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20190706.15
AB  - With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. When data science and education science are deeply integrated, teaching activities will be more precise and personalized. This study first summarizes the data types of middle school students in teaching, then explores the combination mode of student data and teacher teaching at home and abroad, and finally gives the implementation mode and scheme of data-driven teaching in teacher teaching. According to the implementation plan of data-driven teaching, teachers can use the data generated by students to achieve accurate teaching. On the one hand, it can improve the teaching efficiency of teachers.On the other hand, it can grasp the short board of students' performance and improve students' performance.
VL  - 7
IS  - 6
ER  -

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Author Information

Wang Ping

School of Network Education, Beijing University of Posts and Telecommunications, Beijing,China

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Plain Text BibTeX RIS

APA Style

Wang Ping. (2019). Research on Data-driven Teaching Mode of Teachers. Science Innovation, 7(6), 175-180. https://doi.org/10.11648/j.si.20190706.15

Copy | Download

ACS Style

Wang Ping. Research on Data-driven Teaching Mode of Teachers. Sci. Innov. 2019, 7(6), 175-180. doi: 10.11648/j.si.20190706.15

Copy | Download

AMA Style

Wang Ping. Research on Data-driven Teaching Mode of Teachers. Sci Innov. 2019;7(6):175-180. doi: 10.11648/j.si.20190706.15

Copy | Download

@article{10.11648/j.si.20190706.15,
  author = {Wang Ping},
  title = {Research on Data-driven Teaching Mode of Teachers},
  journal = {Science Innovation},
  volume = {7},
  number = {6},
  pages = {175-180},
  doi = {10.11648/j.si.20190706.15},
  url = {https://doi.org/10.11648/j.si.20190706.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20190706.15},
  abstract = {With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. When data science and education science are deeply integrated, teaching activities will be more precise and personalized. This study first summarizes the data types of middle school students in teaching, then explores the combination mode of student data and teacher teaching at home and abroad, and finally gives the implementation mode and scheme of data-driven teaching in teacher teaching. According to the implementation plan of data-driven teaching, teachers can use the data generated by students to achieve accurate teaching. On the one hand, it can improve the teaching efficiency of teachers.On the other hand, it can grasp the short board of students' performance and improve students' performance.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Research on Data-driven Teaching Mode of Teachers
AU  - Wang Ping
Y1  - 2019/12/26
PY  - 2019
N1  - https://doi.org/10.11648/j.si.20190706.15
DO  - 10.11648/j.si.20190706.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 175
EP  - 180
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20190706.15
AB  - With the rapid development of smart campus and educational informatization, teaching activities are becoming more and more intelligent and scientific. When data science and education science are deeply integrated, teaching activities will be more precise and personalized. This study first summarizes the data types of middle school students in teaching, then explores the combination mode of student data and teacher teaching at home and abroad, and finally gives the implementation mode and scheme of data-driven teaching in teacher teaching. According to the implementation plan of data-driven teaching, teachers can use the data generated by students to achieve accurate teaching. On the one hand, it can improve the teaching efficiency of teachers.On the other hand, it can grasp the short board of students' performance and improve students' performance.
VL  - 7
IS  - 6
ER  -

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