Data-Driven Instructional Decision-Making Models: A Literature Review
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Published
Dec 30, 2024
Abstract
In recent years, the application of big data technology in education has attracted wide attention in academia. How to leverage big data to reach scientific instructional decision-making has become a topical issue. Based on a literature review of relevant studies, this article gives an overview of the evolution of data-driven instructional decision-making models in order to provide educators with a broad perspective on this subject. It also makes a comparative analysis of certain representative models, aiming to provide teachers with valuable insights for facilitating their application of big data technology to teaching decision-making.
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Keywords
Big Data, Instructional Decision Making, Data-Driven Decision Making, Data-Based Decision Making, Data-Informed Decision Making
Supporting Agencies
No funding sources declared.
References
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Agasisti, T. & Bowers, A. J. (2017). Data analytics and decision making in education: towards the educational data scientist as a key actor in schools and higher education institutions. In Handbook of contemporary education economics (pp. 184-210). Edward Elgar Publishing. DOI: https://doi.org/10.4337/9781785369070.00014
Borko, H., Roberts, S. A., & Shavelson, R. (2008). Teachers’ decision making: From Alan J. Bishop to today. In Critical issues in mathematics education: Major contributions of Alan Bishop (pp. 37-67). Boston, MA: Springer US.
Coburn, C. E., & Turner, E. O. (2012). The practice of data use: An introduction. American Journal of Education, 118(2), 99-111. DOI: https://doi.org/10.1086/663272
Dodman, S. L., Swalwell, K., DeMulder, E. K., & Stribling, S. M. (2021). Critical data-driven decision making: A conceptual model of data use for equity. Teaching and Teacher Education, 99, 103272. DOI: https://doi.org/10.1016/j.tate.2020.103272
Duncan-Andrade, J. M., & Morrell, E. (2008). The art of critical pedagogy: Possibilities for moving from theory to practice in urban schools. New York, NY: Peter Lang.
Feng, Y. (2020). A review of data-driven instructional decision-making. China Distance Education, 41(4), 65-75. DOI: https://doi.org/10.13541/j.cnki.chinade.2020.04.009
Guan, J., Sun, Y., & Zhu, Z. (2019). Data-driven teaching decision-making in a smart classroom environment. China Educational Technology, 2019(2), 22-28+42. Available at: https://link.cnki.net/urlid/11.3792.G4.20190124.0851.010
Gummer, E. S., & Mandinach, E. B. (2015). Building a conceptual framework for data literacy. Teachers College Record, 117(4), 1-22.
Hora, M. T., Bouwma-Gearhart, J., & Park, H. J. (2014). Using practice-based research to frame and focus pedagogical reform: Exploring the use of data and other information to guide instructional decision making (No. 2014-3). WCER Working Paper.
Available at: http://www.wcer.wisc.edu/publications/workingPapers/papers.php
Hu, J. (2024). Construction and Application of a Big Language Model-Enabled, Data-Driven Instructional Decision-Making Model (doctoral dissertation). East China Normal University. DOI: https://doi.org/10.27149/d.cnki.ghdsu.2024.000257
Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the “data-driven” mantra: Different conceptions of data-driven decision making. Teachers College Record, 109(13), 105-131. DOI: https://doi.org/10.1111/j.1744-7984.2007.00099.x
Li, J., Gu, Q., Jiang, S., & Zheng, X. (2023). Is data-driven instructional decision-making effective? A meta-analysis based on 43 experimental and quasi-experimental studies. Modern Educational Technology, 2023(9), 67-77. DOI: https://doi.org/10.3969/j.issn.1009-8097.2023.09.007
Li, X., & Xia, J. (2020). School-based practice based on supplemental instruction of big data in education. Science Insights Education Frontiers, 7(2), 913-933. DOI: https://doi.org/10.15354/sief.20.or063
Lin, S., Chen, S., & Zhang, X. (2021). From data literacy to data wisdom: Practical paths and performance of instructional decision-making. China Educational Technology, 2021(9), 79-87. Available at: https://kns.cnki.net/kcms2/article/abstract?v=pTDtInUJxYxYuRCUSJzQDfyCldvESNKE9oPrBWyE_kK5MKd8aRo7RrXa9-DEmied4HlzrRnLeI3ETsBmbsVsY3Iv9mVeEzGRkNLAlxtAVD47OSvI7wRRSAxGqx31E5KL6vnzY1CFDKYmFvW63WKOHvnvPt6R5QfbaWtbGburE99sBih-0gwN3w==&uniplatform=NZKPT&language=CHS
Liu, J., Zhang, X., & Lin, S. (2022). An overview of the effects of data-driven instructional decision making: An umbrella evaluation based on 10 meta-analyses. E-education Research, 2022(9), 53-62. DOI: https://doi.org/10.13811/j.cnki.eer.2022.09.007
Mandinach, E. B., Honey, M., & Light, D. (2006, April). A theoretical framework for data-driven decision making. In annual meeting of the American Educational Research Association, San Francisco, CA (pp. 39-52). Available at: https://cct.edc.org/sites/cct.edc.org/files/publications/DataFrame_AERA06.pdf
Qi, Z. (2021). A Data-Driven Instructional Decision Making Framework for Secondary Teachers (master’s thesis). Beijing University of Posts and Telecommunications. DOI: https://doi.org/10.26969/d.cnki.gbydu.2021.002926
Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational research, 61(3), 257-273. DOI: https://doi.org/10.1080/00131881.2019.1625716
Schildkamp, K., & Poortman, C. L. (2015). Factors Influencing the Functioning of Data Teams. Teachers College Record, 117(4), 040310. Available at: http://www.tcrecord.org/content.asp?contentid=17851
Song, D. & Li, S. (2008). Teachers’ instructional decision making: Connotation, Component, and Significance. Curriculum, Teaching Materials and Methods, 2008(12), 21-26. DOI: https://doi.org/10.19877/j.cnki.kcjcjf.2008.12.005
United Nations Global Pulse. (2012). Big Data for Development: Challenges and Opportunities. Available at: https://unstats.un.org/unsd/trade/events/2014/Beijing/documents/globalpulse/Big%20Data%20for%20Development%20-%20UN%20Global%20Pulse%20-%20June2012.pdf
Wise, A. F., & Jung, Y. (2019). Teaching with analytics: Towards a situated model of instructional decision-making. Journal of Learning Analytics, 6(2), 53-69. DOI: http://dx.doi.org/10.18608/jla.2019.62.4
Wu, L. (2019). The value of big data-based learning evaluation. Tsinghua Journal of Education, 2019(1), 15-18. DOI: https://doi.org/10.14138/j.1001-4519.2019.1.001503
Yan, H. & Wang, W. (2023). A practical exploration for advancing digital education: Construction and validation of data-driven decision making models. Research in Educational Development, 2023(4), 21-29+47. DOI: http://dx.doi.org/10.14121/j.cnki. 1008-3855.2023.04.011
Ye, M. (2009). Design and application of the instructional decision visualization model. Modern Educational Technology, 19(9), 31-36. Available at: https://kns.cnki.net/kcms2/article/abstract?v=pTDtInUJxYyAgN0i-Pis4-DUsIfKzDqF8Aejp5TcAh34bp-3Fth2065qXHk3Ill7Zt__stQZLZFG8WLvjp_a2yuw5Vi0xY7avfvmuAwhKSTMSznsj8ISOxnFwkOp3uFww0hAdbO_GJgbrRq9ojXUAGOWCKPI7jG3i_RPeC9pKnl-g-LfSz-11w==&uniplatform=NZKPT&language=CHS
Zhang, C. (2009). The evolution and significance of teacher instructional decision making. Journal of Shanghai Educational Research, 2009(1), 26-30. DOI: https://doi.org/10.16194/j.cnki.31-1059/g4.2009.01.009
Zhang, W. (2017). The possibilities and limitations of big data application to instructional decision-making: From the perspective of teaching epistemology. Journal of the Chinese Society of Education, 2017(10), 64-69. Available at: https://kns.cnki.net/kcms2/article/abstract?v=pTDtInUJxYxRqsyMAioCeYkLxbvg7YokpARGvFLa6GUuqFNXemJ7jQnIssLREBt2YgowU0bbU94tXhMZV2-gz6zkw_JIxHW8-dP7Fr2tCA46DnYNqttUfhe5gmNmt0UKeMZg08DeH38mG_0lKNlajUm-ynHlWQHpA-mS_ucrrJa-f49KPMLmIA==&uniplatform=NZKPT&language=CHS
Zhang, X., Lin, S., & Sun, Y. (2021). From data to knowledge: A theoretical model of data-driven instructional decision making and competence enhancement of the teachers. E-education Research, 42(12), 41-47+54. DOI: https://doi.org/10.13811/j.cnki.eer.2021.12.006
Zhong, W. & Hou, H. (2017). The improvement and implementation path of teacher instructional decision-making based on educational big data. Journal of Education Science of Hunan Normal University, 2017(5), 69-74. DOI: https://doi.org/10.19503/j.cnki.1671-6124.2017.05.011
Zou, Y. & Yin, Y. (2018). From “experience-based” to “data-driven” decision making: A new form of teacher instructional decision-making in the era of big data. Theory and Practice of Education, 2018(13), 52-56. Available at: https://kns.cnki.net/kcms2/article/abstract?v=gpYlZH45TFmDbVJRafdaQLuI_g4HEKkKEE_TbBtNij1FtJeUWMOCgfmWgkcFOZ8gJ0AhftTdcm9U5qnjQeiw8HcPZYQ7IxAZdpA2bl5ZEujxgTpEN5fLSDHhiPjsWi82CJ6vcr7mkLP6JTc-M26N7DTji2M-EvZE4SOkFPJCJKkFvzKbi52QhA==&uniplatform=NZKPT&language=CHS
Agasisti, T. & Bowers, A. J. (2017). Data analytics and decision making in education: towards the educational data scientist as a key actor in schools and higher education institutions. In Handbook of contemporary education economics (pp. 184-210). Edward Elgar Publishing. DOI: https://doi.org/10.4337/9781785369070.00014
Borko, H., Roberts, S. A., & Shavelson, R. (2008). Teachers’ decision making: From Alan J. Bishop to today. In Critical issues in mathematics education: Major contributions of Alan Bishop (pp. 37-67). Boston, MA: Springer US.
Coburn, C. E., & Turner, E. O. (2012). The practice of data use: An introduction. American Journal of Education, 118(2), 99-111. DOI: https://doi.org/10.1086/663272
Dodman, S. L., Swalwell, K., DeMulder, E. K., & Stribling, S. M. (2021). Critical data-driven decision making: A conceptual model of data use for equity. Teaching and Teacher Education, 99, 103272. DOI: https://doi.org/10.1016/j.tate.2020.103272
Duncan-Andrade, J. M., & Morrell, E. (2008). The art of critical pedagogy: Possibilities for moving from theory to practice in urban schools. New York, NY: Peter Lang.
Feng, Y. (2020). A review of data-driven instructional decision-making. China Distance Education, 41(4), 65-75. DOI: https://doi.org/10.13541/j.cnki.chinade.2020.04.009
Guan, J., Sun, Y., & Zhu, Z. (2019). Data-driven teaching decision-making in a smart classroom environment. China Educational Technology, 2019(2), 22-28+42. Available at: https://link.cnki.net/urlid/11.3792.G4.20190124.0851.010
Gummer, E. S., & Mandinach, E. B. (2015). Building a conceptual framework for data literacy. Teachers College Record, 117(4), 1-22.
Hora, M. T., Bouwma-Gearhart, J., & Park, H. J. (2014). Using practice-based research to frame and focus pedagogical reform: Exploring the use of data and other information to guide instructional decision making (No. 2014-3). WCER Working Paper.
Available at: http://www.wcer.wisc.edu/publications/workingPapers/papers.php
Hu, J. (2024). Construction and Application of a Big Language Model-Enabled, Data-Driven Instructional Decision-Making Model (doctoral dissertation). East China Normal University. DOI: https://doi.org/10.27149/d.cnki.ghdsu.2024.000257
Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the “data-driven” mantra: Different conceptions of data-driven decision making. Teachers College Record, 109(13), 105-131. DOI: https://doi.org/10.1111/j.1744-7984.2007.00099.x
Li, J., Gu, Q., Jiang, S., & Zheng, X. (2023). Is data-driven instructional decision-making effective? A meta-analysis based on 43 experimental and quasi-experimental studies. Modern Educational Technology, 2023(9), 67-77. DOI: https://doi.org/10.3969/j.issn.1009-8097.2023.09.007
Li, X., & Xia, J. (2020). School-based practice based on supplemental instruction of big data in education. Science Insights Education Frontiers, 7(2), 913-933. DOI: https://doi.org/10.15354/sief.20.or063
Lin, S., Chen, S., & Zhang, X. (2021). From data literacy to data wisdom: Practical paths and performance of instructional decision-making. China Educational Technology, 2021(9), 79-87. Available at: https://kns.cnki.net/kcms2/article/abstract?v=pTDtInUJxYxYuRCUSJzQDfyCldvESNKE9oPrBWyE_kK5MKd8aRo7RrXa9-DEmied4HlzrRnLeI3ETsBmbsVsY3Iv9mVeEzGRkNLAlxtAVD47OSvI7wRRSAxGqx31E5KL6vnzY1CFDKYmFvW63WKOHvnvPt6R5QfbaWtbGburE99sBih-0gwN3w==&uniplatform=NZKPT&language=CHS
Liu, J., Zhang, X., & Lin, S. (2022). An overview of the effects of data-driven instructional decision making: An umbrella evaluation based on 10 meta-analyses. E-education Research, 2022(9), 53-62. DOI: https://doi.org/10.13811/j.cnki.eer.2022.09.007
Mandinach, E. B., Honey, M., & Light, D. (2006, April). A theoretical framework for data-driven decision making. In annual meeting of the American Educational Research Association, San Francisco, CA (pp. 39-52). Available at: https://cct.edc.org/sites/cct.edc.org/files/publications/DataFrame_AERA06.pdf
Qi, Z. (2021). A Data-Driven Instructional Decision Making Framework for Secondary Teachers (master’s thesis). Beijing University of Posts and Telecommunications. DOI: https://doi.org/10.26969/d.cnki.gbydu.2021.002926
Schildkamp, K. (2019). Data-based decision-making for school improvement: Research insights and gaps. Educational research, 61(3), 257-273. DOI: https://doi.org/10.1080/00131881.2019.1625716
Schildkamp, K., & Poortman, C. L. (2015). Factors Influencing the Functioning of Data Teams. Teachers College Record, 117(4), 040310. Available at: http://www.tcrecord.org/content.asp?contentid=17851
Song, D. & Li, S. (2008). Teachers’ instructional decision making: Connotation, Component, and Significance. Curriculum, Teaching Materials and Methods, 2008(12), 21-26. DOI: https://doi.org/10.19877/j.cnki.kcjcjf.2008.12.005
United Nations Global Pulse. (2012). Big Data for Development: Challenges and Opportunities. Available at: https://unstats.un.org/unsd/trade/events/2014/Beijing/documents/globalpulse/Big%20Data%20for%20Development%20-%20UN%20Global%20Pulse%20-%20June2012.pdf
Wise, A. F., & Jung, Y. (2019). Teaching with analytics: Towards a situated model of instructional decision-making. Journal of Learning Analytics, 6(2), 53-69. DOI: http://dx.doi.org/10.18608/jla.2019.62.4
Wu, L. (2019). The value of big data-based learning evaluation. Tsinghua Journal of Education, 2019(1), 15-18. DOI: https://doi.org/10.14138/j.1001-4519.2019.1.001503
Yan, H. & Wang, W. (2023). A practical exploration for advancing digital education: Construction and validation of data-driven decision making models. Research in Educational Development, 2023(4), 21-29+47. DOI: http://dx.doi.org/10.14121/j.cnki. 1008-3855.2023.04.011
Ye, M. (2009). Design and application of the instructional decision visualization model. Modern Educational Technology, 19(9), 31-36. Available at: https://kns.cnki.net/kcms2/article/abstract?v=pTDtInUJxYyAgN0i-Pis4-DUsIfKzDqF8Aejp5TcAh34bp-3Fth2065qXHk3Ill7Zt__stQZLZFG8WLvjp_a2yuw5Vi0xY7avfvmuAwhKSTMSznsj8ISOxnFwkOp3uFww0hAdbO_GJgbrRq9ojXUAGOWCKPI7jG3i_RPeC9pKnl-g-LfSz-11w==&uniplatform=NZKPT&language=CHS
Zhang, C. (2009). The evolution and significance of teacher instructional decision making. Journal of Shanghai Educational Research, 2009(1), 26-30. DOI: https://doi.org/10.16194/j.cnki.31-1059/g4.2009.01.009
Zhang, W. (2017). The possibilities and limitations of big data application to instructional decision-making: From the perspective of teaching epistemology. Journal of the Chinese Society of Education, 2017(10), 64-69. Available at: https://kns.cnki.net/kcms2/article/abstract?v=pTDtInUJxYxRqsyMAioCeYkLxbvg7YokpARGvFLa6GUuqFNXemJ7jQnIssLREBt2YgowU0bbU94tXhMZV2-gz6zkw_JIxHW8-dP7Fr2tCA46DnYNqttUfhe5gmNmt0UKeMZg08DeH38mG_0lKNlajUm-ynHlWQHpA-mS_ucrrJa-f49KPMLmIA==&uniplatform=NZKPT&language=CHS
Zhang, X., Lin, S., & Sun, Y. (2021). From data to knowledge: A theoretical model of data-driven instructional decision making and competence enhancement of the teachers. E-education Research, 42(12), 41-47+54. DOI: https://doi.org/10.13811/j.cnki.eer.2021.12.006
Zhong, W. & Hou, H. (2017). The improvement and implementation path of teacher instructional decision-making based on educational big data. Journal of Education Science of Hunan Normal University, 2017(5), 69-74. DOI: https://doi.org/10.19503/j.cnki.1671-6124.2017.05.011
Zou, Y. & Yin, Y. (2018). From “experience-based” to “data-driven” decision making: A new form of teacher instructional decision-making in the era of big data. Theory and Practice of Education, 2018(13), 52-56. Available at: https://kns.cnki.net/kcms2/article/abstract?v=gpYlZH45TFmDbVJRafdaQLuI_g4HEKkKEE_TbBtNij1FtJeUWMOCgfmWgkcFOZ8gJ0AhftTdcm9U5qnjQeiw8HcPZYQ7IxAZdpA2bl5ZEujxgTpEN5fLSDHhiPjsWi82CJ6vcr7mkLP6JTc-M26N7DTji2M-EvZE4SOkFPJCJKkFvzKbi52QhA==&uniplatform=NZKPT&language=CHS
How to Cite
Zhao, S., & Hu, Y. (2024). Data-Driven Instructional Decision-Making Models: A Literature Review. Science Insights Education Frontiers, 25(2), 4183–4198. https://doi.org/10.15354/sief.24.re431
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