Abstract
Long considered a best practice, early childhood educators are now strongly encouraged, if not mandated, to collect and use data to inform instructional practices. However, the methods, processes, and abilities of educators surrounding ongoing data collection and use are largely unknown. Also, there is little evidence on how best to prepare educators to incorporate data use into instructional practices, or the amounts and types of training offered to those in the field. The goal of this article is to better understand what ongoing data collection and use looks like in early childhood education and identify how to prepare and support educators in their efforts to improve child outcomes. We first examine the literature surrounding methods of collecting and using data to individualize instruction, and the factors that influence this process in educational settings. We then review instructional continuous data use cycles, to better understand common components across cycles. Last, we present findings from an exploratory survey of early childhood educators, conducted to learn about their data use processes, confidence, and training. Results reveal that, while early childhood educators are using multiple types of data to plan their instruction on a daily or weekly basis, most only receive professional development annually, at a very high-level. Additionally, few received any training via college coursework. Findings point to a need to prepare and support early childhood educators’ in their data collection and use efforts, as this is something they are currently doing frequently, but potentially with limited confidence in their abilities.
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Notes
A review of continuous data use cycles was conducted, to examine common components across cycles. All cycles are included within the references of this article: (Akers et al. 2015; Boudett et al. 2005; Coburn and Turner 2011; Datnow et al. 2007; Derrick-Mills et al. 2015; Flowers and Carpenter 2009; Hamilton et al. 2009; Huguet et al. 2014; Schildkamp and Poortman 2015).
References
Akers, L., Atkins-Burnett, S. M., Carta, J., Wasik, B. A., & Boller, K. (2015). What does it mean to use ongoing assessment to individualize instruction in early childhood? Research brief OPRE report #2015-61. Washington, DC: Mathematica Policy Research.
Akers, L., Del Grassio, P., Snell, E., Atkins-Burnett, S., Wasik, B., Carta, J., & Monahan, S. (2016). Tailored teaching: Emerging themes from the literature on teachers’ use of ongoing child assessment to individualize instruction. Dialog, 18(3), 133–150.
Atkins-Burnett, S., Monahan, S., Akers, L., Carta, J., Wasik, B. A., & Boller, K. (2014). Tailored teaching: Teachers’ use of ongoing child assessment to individualize instruction (Volume I and II). Washington, DC: Office of Planning Research and Evaluation.
Boudett, K. P., Murnane, R. J., City, E., & Moody, L. (2005). Teaching educators how to use student assessment data to improve instruction. Phi Delta Kappan, 86(9), 700–706.
Branson, D., & Bingham, A. (2017). Child care providers’ competence and confidence in referring children at risk for developmental delays. Infants and Young Children, 30, 41–57. https://doi.org/10.1097/IYC.0000000000000079
Cakiroglu, O. (2015). Response to intervention: Early identification of students with learning disabilities. International Journal of Early Childhood Special Education, 7, 170–182. https://doi.org/10.20489/intjecse.10399
Coburn, C. E., & Turner, E. O. (2011). Research on data use: A framework and analysis. Measurement: Interdisciplinary Research & Perspective, 9(4), 173–206.
Datnow, A., Park, V., & Kennedy-Lewis, B. (2012). High school teachers’ use of data to inform instruction. Journal of Education for Students Placed at Risk, 17, 247–265. https://doi.org/10.1080/10824669.2012.718944
Datnow, A., Park, V., & Kennnedy-Lewis, B. (2013). Affordances and constraints in the context of teacher collaboration for the purpose of data use. Journal of Educational Administration, 51, 341–362. https://doi.org/10.1108/0957823131131150
Datnow, A., Park, V., & Wohlstetter, P. (2007). Achieving with data: How high-performing school systems use data to improve instruction for elementary students. Los Angeles: Center of Educational Governance. Retrieved April 3, 2019 from http://www.newschools.org/wp/wp-content/uploads/AchievingWithData.pdf.
Dean, C., Hubbell, E., Pitler, H., & Stone, B. (2014). Classroom instruction that works: Research-based strategies for increasing student achievement (2nd ed.). Alexandria, VA: ASCD.
Derrick-Mills, T. (2015). Understanding data use for continuous quality improvement in Head Start: Preliminary findings. OPRE Report #2–15–33. Administration for Children and Families, U. S. Department of Health and Human Services. Washington, DC: Office of Planning Research, and Evaluation.
Derrick-Mills, T., Winkler, M., Healy, O., & Greenberg, E. (2015). A resource guide for head start programs: Moving beyond a culture of compliance to a culture of continuous improvement. OPRE Report # 2015–02. Washington, DC: Office of Planning Research.
Dunn, K., Airola, D., Lo, W., & Garrison, M. (2013). What teachers think about what they can do with data: Development and validation of the data driven decision-making efficacy and anxiety inventory. Contemporary Educational Psychology, 38, 87–98.
Flowers, N., & Carpenter, D. M. H. (2009). You don’t have to be a statistician to use data: A process for data-based decision making in schools. Phi Delta Kappan, 91(2), 64–67.
Georgia Department of Early Care and Learning. (2020). Pre-K providers’ operating guidelines. Retrieved October 12, 2020 from https://www.decal.ga.gov/documents/attachments/Guidelines.pdf.
Gerzon, N. (2015). Structuring professional learning to develop a culture of data use: Aligning knowledge from the field and research findings. Teachers College Record, 117, 1–28.
Hamilton, L., Halverson, R., Jackson, S. S., Mandinach, E., Supovitz, J. A., Wayman, J. C., et al. (2009). Using student achievement data to support instructional decision making. United States Department of Education. Retrieved August 5, 2019 from https://repository.upenn.edu/gse_pubs/279.
Head Start Performance Standards, 45 C.F.R. Chapter XIII. (2016). Retrieved April 3, 2019 from https://eclkc.ohs.acf.hhs.gov/policy/45-cfr-chap-xiii.
Honig, M., & Venkateswaran, N. (2012). School–central office relationships in evidence use: Understanding evidence use as a systems problem. American Journal of Education, 118(2), 199–222. https://doi.org/10.1086/663282
Huguet, A., Marsh, J. A., & Farrell, C. (2014) Building teachers’ data-use capacity: Insights from strong and developing coaches. Education Policy Analysis Archives. https://doi.org/10.14507/epaa.v22n52.2014.
Infants and Incompetents, Alabama Statutes § 26–24–23. (1975). Retrieved July 30, 2020 from Children.Alabama.gov. http://children.alabama.gov/wp-content/uploads/sites/4/2020/03/Ala.-Code-%C2%A7-26-24-1-et-seq.-1975.pdf.
Isaacs, T., Creese, B., & Gonzalez, A. (2015). Aligned instructional systems: Cross-jurisdiction benchmarking report. Center for International Benchmarking (CIEB). Retrieved August 5, 2019 from http://www.ncee.org/wp-content/uploads/2015/09/AIS-Cross-Jurisdiction-Report.pdf.
Mandinach, E. B., & Honey, M. (Eds.). (2008). Data driven school improvement: Linking data and learning. New York: Teachers College Press.
Marsh, J., & Farrell, C. (2015). How leaders can support teachers with data-driven decision making: A framework for understanding capacity building. Educational Management Administration and Leadership, 43, 269–289.
Marsh, J., Bertrand, M., & Huguet, A. (2015). Using data to alter instructional practice: The mediating role of coaches and professional learning communities. Teachers College Record, 117, 1–140.
Means, B., Padilla, C., & Gallagher, L. (2012). Use of education data at the local level: From accountability to instructional improvement. Washington, DC: Office of Planning, Evaluation, and Policy Development.
National Association for the Education of Young Children. (2020). NAEYC Professional Preparation Standards. Retrieved October 12, 2020 from https://www.naeyc.org/sites/default/files/globally-shared/downloads/PDFs/accreditation/higher-ed/naeyc-higher-ed-accreditation-standards.pdf.
National Center on Early Childhood Quality Assurance. (2019). Early Learning Development and Guidelines. Retrieved October 12, 2020 from https://childcareta.acf.hhs.gov/sites/default/files/public/075_1907_state_eldgs_web_final508.pdf.
National Professional Development Center on Inclusion. (2012). Response to intervention (RTI) in early childhood: Building consensus on the defining features. Chapel Hill: The University of North Carolina, FPG Child Development Institute. Retrieved April 3, 2019 from https://npdci.fpg.unc.edu/sites/npdci.fpg.unc.edu/files/resources/NPDCI-RTI-Concept-Paper-FINAL-2-2012.pdf.
Schildkamp, K., & Poortman, C. (2015). Factors influencing the functioning of data teams. Teachers College Record, 117, 1–42.
U.S. Department of Education. (2009). Using student achievement data to support instructional decision making. Washington, DC: Institution of Education Sciences. Retrieved April 3, 2019 from https://ies.ed.gov/ncee/wwc/Docs/PracticeGuide/dddm_pg_092909.pdf.
U.S. Department of Health and Human Services. (2015). HSELOF. Retrieved April 3, 2019 from Early Childhood Learning and Knowledge Center https://eclkc.ohs.acf.hhs.gov/sites/default/files/pdf/elof-ohs-framework.pdf.
Zigler, E., & Seitz, V. (1982). Head Start as a national laboratory. The Annals of the American Academy of Political and Social Science, 461(1), 81–90.
Zweig, J., Irwin, C. W., Kook, J. F., & Cox, J. (2015). Data collection and use in early childhood education programs: Evidence from the Northeast Region (REL 2015–084). Institute of Education Services, U. S. Department of Education. Washington, DC: National Center for Education Evaluation and Regional Assistance, Regional Education Laboratory Northeast and Islands. Retrieved April 3, 2019 from https://ies.ed.gov/ncee/edlabs/regions/northeast/pdf/REL_2015084.pdf.
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deMonsabert, J., Brookes, S., Coffey, M.M. et al. Data Use for Continuous Instructional Improvement in Early Childhood Education Settings. Early Childhood Educ J 50, 493–502 (2022). https://doi.org/10.1007/s10643-021-01168-3
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DOI: https://doi.org/10.1007/s10643-021-01168-3