School-Based Practice Based On Supplemental Instruction of Big Data In Education
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Abstract
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new ideas and working ideas into teaching activities, and providing essential guidance for personalized teaching. This paper reviewed the detailed process of applying big data in education to teaching practice based on the case of a middle school in China. Furthermore, it pointed out the factors hindering the large-scale development of big data in the education field, aiming to provide directions for applying big data in education
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Big Data in Education, Personalized Teaching, School-Based Practice, Middle School
Dai, J. (2017). Research on the Application of Adaptive Testing Thought in Personalized Practice. Dissertation; East China Normal University, 2017. [Chinese] http://cdmd.cnki.com.cn/Article/CDMD-10269-1017088284.htm
Fang, C., & Huang, B. (2019). Can information technology promote academic performance of school-aged children? An empirical study based on CEPS. Best Evidence in Chinese Education, 2(2):209-227. DOI: https://doi.org/10.15354/bece.19.ar1045
He, K,K. (2019) The significant impact of emerging information technology since the 21st century on the deepening reform of education. e-Education Research, 40(03):5-12. [Chinese] DOI: https://doi.org/10.13811/j.cnki.eer.2019.03.001
Jiang, L. (2016). Analysis of data collection methods for learning evaluation. Information Construction, 2016(7):204. [Chinese] http://www.cnki.com.cn/Article/CJFDTotal-XXJS201607172.htm
Jiang, Z.H. (2013). Model construction and strategy optimization of personalized learning in the network environment. Distance Education in China, 2013(2):48-51+95. [Chinese] DOI: https://doi.org/10.13541/j.cnki.chinade.2013.02.005
Li, C.M. (2019). How does e-book bag promote learning? Video analysis based on classroom recordings. Science Insights Education Frontiers, 3(1):135-154. DOI: https://doi.org/10.15354/sief.19.ar071
Li, C.X. & Li, J.J. (2020). Research on the evaluation model of “students’ individualized learning in the information technology environment”. Contemporary Family Education, 2020(21):1. [Chinese] https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLASN2020&filename=DDJT202021001&v=M74Me2uMw%25mmd2BcnNI08v16S8GS69f4hg0RxIc6FIEz8ToMA1aGr6nVkYla%25mmd2Fg9Tm%25mmd2BMWl
Liu, X.J. (2020). Personalized education in curriculum teaching. China Higher Education Research, 2020(11):49-53. [Chinese] DOI: https://doi.org/10.16298/j.cnki.1004-3667.2020.11.09
Ren, Q.D., & Wang, L.L. (2016). Promoting teaching and learning through educational data mining and learning analysis. Automation & Instrumentation, 10:193-194. [Chinese] DOI: https://doi.org/10.14016/j.cnki.1001-9227.2016.10.193
Wang, J.R. (2019). Design and implementation of online education big data analysis platform. Dissertation; Shaanxi Normal University. [Chinese] http://cdmd.cnki.com.cn/Article/CDMD-10718-1019223592.htm
Wang, X.P. (2019). Design and implementation of a personalized practice system based on the recent development area. Dissertation; Central China Normal University. [Chinese] http://cdmd.cnki.com.cn/Article/CDMD-10511-1019204641.htm
Wu, C. & Gao, Y.Y. (2019). A comparative study of online examination and traditional examination papers. Youth Society, 2019(5):81. [Chinese] http://www.cnki.com.cn/Article/CJFDTotal-QNSH201905053.htm
Xu, P., Wang, Y.N., Liu, Y.H., & Zhang, H. (2013). Analysis of learning changes from the perspective of big data: Interpretation and enlightenment of the report “Promoting Teaching and Learning through Educational Data Mining and Learning Analysis” in the United States. Journal of Distance Education, 31(6):11-17. [Chinese] DOI: https://doi.org/10.15881/j.cnki.cn33-1304/g4.2013.06.008
Xu, Y.Q. (2020) Application research on personalized teaching system based on big data. Dissertation; Hebei Normal University. [Chinese] DOI: https://doi.org/10.27110/d.cnki.ghsfu.2020.000741
Yang, X.M., Tang, S.S., & Li, J.H. (2016). Development of educational big data: connotation, value and challenge. Modern Distance Education Research, 2016(1):50-61. [Chinese] DOI: https://doi.org/10.3969/j.issn.1009-5195.2016. 01.007
Zang, F.Q. (2018). The construction and application of the teaching model of “learning-based teaching” supported by educational big data. Dissertation; Shandong Normal University. [Chinese] http://cdmd.cnki.com.cn/Article/CDMD-10445-1018178012.htm
Zhang, M.X. (2019). Data service design and application research based on cloud classroom. Dissertation; Central China Normal University. [Chinese] DOI: https://doi.org/10.27159/d.cnki.ghzsu.2019.000718
Zhang, W.X. (2017). Types and connotations of personalized evaluation in mathematics classroom. Liaoning Education, 2017(3): 58-62. [Chinese] DOI: https://doi.org/10.3969/j.issn.1002-8196.2017.03.018
Zhang, Y.N. (2016). Research on the application of big data in education: US-based application practice. Dissertation; East China Normal University. [Chinese] http://cdmd.cnki.com.cn/Article/CDMD-10269-1016126724.htm
Zhou, L.J., Li, F.M., Wu, S.S., & Zhou, M. (2020) “School’s Out, But Class’s On”, The largest online education in the world today: Taking China’s practical exploration during the COVID-19 epidemic prevention and control as an example. Best Evidence in Chinese Education, 4(2):501-519. [Chinese] DOI: https://doi.org/10.15354/bece.20.ar023
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