Educational Big Data Initiates a New Era in Education Development
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
Over the past more than ten years, big data technology has posed profound impacts to almost all sectors including education. This state-of-the-art technology prompts changes in educational notions, pedagogy, and the roles of teachers and students. Educational big data proliferates with the improvement of school digital infrastructure, popularization of campus networks, increase in educational applications, widespread use of learning management systems (LMS) and other terminal devices (Chaurasia & Rosin, 2017). There is a consensus among researchers that judicious exploitation of educational big data is beneficial for optimizing education resource distribution, reaching scientific educational decisions, and elevating the quality of instruction (Cui, 2023). The benefits of big data application in education have also been well recognized by educators; schools and other education institutions are increasing endeavors to integrate big data technology into instruction.
Downloads
##plugins.themes.bootstrap3.article.details##
Education, Big Data
No funding sources declared.
Chaurasia, S. S. & Frieda Rosin, A. (2017). From Big Data to Big Impact: Analytics for teaching and learning in higher education. Industrial and Commercial Training, 49(7/8):321-328. DOI: https://doi.org/10.1108/ICT-10-2016-0069
Chen, H., & Zhou, C. (2024). The application of big data-based precision teaching in Chinese education: Using Xichuan experimental school in Chengdu city as an example. Science Insights Education Frontiers, 25(1):4077-4090. DOI: https://doi.org/10.15354/sief.24.re428
Cui, J. (2023). The big data-driven transformation of higher education. China Higher Education, 2023(8):57-60. Available at: https://kns.cnki.net/kcms2/article/abstract?v=qiNkJQ8c4F-etooVbooF4WBL1oVQFkh2QGMOxOCDIs17i-0A602qjg9mm02Tt-l5pLDKPUvfN1mSj1axmbxKwwEsxtKNJdmdOWRq-BWUsX9VrtPBIgYm13ryf_Rcx9krCGcm3_R08by4fR2pOOBOFE0HjJGkEzkulBvLDIJ79SY_HBw76aSK1g==&uniplatform=NZKPT&language=CHS
Feng, C. (2024). The application of big data-based visualized diagnosis in primary Chinese language teaching. Language Preparation, 2024(16):9-12+35. DOI: https://doi.org/10.16412/j.cnki.1001-8476.2024.16.010
Li, B., Peng, P., & Wang, L. (2022). Big data-driven precision teaching intervention: An empirical study of senior secondary mathematics instruction. Educational Research and Experiment, 2022(1):64-70. Available at: https://kns.cnki.net/kcms2/article/abstract?v=qiNkJQ8c4F85-LS2opqQqEw2vvMCfvji5rhQU7fBUhdUq3b_puekd3dWxLJc2x8AuEEBXKUcOZocTWVXktATsiqfr-cCl90m3poTyv2tTxeDnNJHymrJ9PXdyunRTyf_dkZZ8j2_vPvBYEhi1FKaWPSgMZqx5X9kL_v6KJYouU-p8L_4GCAd1w==&uniplatform=NZKPT&language=CHS
Qian, M. & Zhao, L. (2023). Big data-enabled evaluation of college teaching quality: value, practical challenges, and implementation paths. Chongqing Higher Education Research, 2023(5):40-48. DOI: https://doi.org/10.15998/j.cnki.issn1673-8012.2023.05.004
Wang, L., Peng, Y., & Ma, R. (2024). Data Indicators of high-quality classroom teaching from the perspective of big data-driven, evidence-based approach. E-education Research, 45(3):10-17. DOI: https://doi.org/10.13811/j.cnki.eer.2022.03.002
Zhang, Y. (2023). The construction and implementation of a big data-enabled, online case library-based teaching model: Using the jurisprudence course as an example. Legal Education Research, 41(2):194-210. Available at: https://kns.cnki.net/kcms2/article/abstract?v=qiNkJQ8c4F9iDMzU-Qng_yj5D8dfGUdOBsaUldIiY4i4qMdawyYU4W-C1bpCZWmJ-h4Jv09ukiWkwBhYYs6pdJv2JJlt3xlUUZIxwBn_ykN6JJfnBx28B5UTnHMGzBTPLgb4aH10neCmpdAiEchYCP2a7RRBfcYiHn_pDRn7Nx5Kr86rqCknbw==&uniplatform=NZKPT&language=CHS
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.