Science teachers’ data use practices: A descriptive analysis
Open accessAbstract
There is a debate on students’ low science achievement in the United States, particularly among low income, African American students, and Latino students. An important part of the education community’s response to low achievement generally and in science specifically has been the implementation of high stakes accountability policies. Because of accountability’s emphasis on educator data use, much research has examined different facets of it throughout educational organizations, but research has not focused on the extent to which data use might be content-specific. The purpose of this paper, then, was to investigate the data use practices of science teachers. Drawing from a broader study of science teachers in grades 5-8 across six school districts, this study reports results from teacher surveys and interviews. The findings indicate that while there were examples of science-specific data use, most of the science teachers used data in ways consistent with previous content-agnostic research. Implications for future research, policy, and practice are discussed.
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Teachers use data to inform lesson plans, set lesson objectives, develop differentiated instructions, and provide feedback to students.
“With respect to teaching enhancement purposes, teachers use data to inform their lesson plans (Ford, 2018; Gelderblom et al., 2016; Snodgrass Rangel et al., 2016; Reeves et al., 2016), set lesson objectives (Kallemeyn, 2014; Snodgrass Rangel et al., 2016; Reeves et al., 2016), develop differentiated instructions (Beck et al., 2020; Datnow et al., 2012; Farley-Ripple et al., 2019), and provide”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Snodgrass Rangel et al., 2016
The Summary of Findings (page unavailable) says science teachers used assessment data for day-to-day instructional planning, supporting the lesson-planning part. The District assessments section says teachers identified objectives students struggled with and planned reteaching or interventions, but it does not clearly say they used data to set lesson objectives. This citation is attached to those two parts of the printed sentence, not to differentiated instruction or feedback. (LLM, conf=0.82)
Experimental — accuracy not yet measuredData-literate teachers leverage student assessment data to evaluate learning progress.
“Specifically, data-literate teachers leverage student assessment data to evaluate learning progress (Abrams et al., 2016; Jimerson, 2014; Jimerson & Wayman, 2015; Jimerson et al., 2016; Snodgrass Rangel et al., 2016), to tailor classroom instruction based on data insights (Mokhtari et al., 2009; Poortman & Schildkamp, 2016; Staman et al., 2017; van der Scheer & Visscher, 2018), and to ensure”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Snodgrass Rangel et al., 2016
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Cites
Assessment and Classroom Learning
Black, P., & Wiliam, D. (1998) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969595980050102 · Cited by 8,152 · cited 1× · see citing works
“designed to measure student mastery of scientific practices provides teachers with more actionable data on student mastery of both science content and scientific practices (Black & William, 1998; Buck & Trauth-Nare, 2009).”
Background(2009) · US Department of Education · Cited by 3,654 · see citing works
Orlikowski, W. J., & Iacono, C. S. (2001) · Information Systems Research · doi:10.1287/isre.12.2.121.9700 · Cited by 2,751 · see citing works
The laboratory in science education: Foundations for the twenty-first century
Hofstein, A., & Lunetta, V. N. (2004) · Science Education · doi:10.1002/sce.10106 · Cited by 2,699 · see citing works
Taking science to school: learning and teaching science in grades K-8
Duschl, R. A., & National Research Council (USA) (2008) · Choice Reviews Online · doi:10.5860/choice.45-3327 · Cited by 2,480 · see citing works
Knowing What Students Know: The Science and Design of Educational Assessment
Pellegrino, J. W., Chudowsky, N., & Glaser, R. A. (2013) · Cited by 2,416 · see citing works
Self-Efficacy Beliefs as Shapers of Children's Aspirations and Career Trajectories
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (2001) · Child Development · doi:10.1111/1467-8624.00273 · Cited by 2,137 · see citing works
Policy Implementation and Cognition: Reframing and Refocusing Implementation Research
Spillane, J. P., Reiser, B. J., & Reimer, T. (2002) · Review of Educational Research · doi:10.3102/00346543072003387 · Cited by 1,923 · see citing works
Minner, D. D., Levy, A. J., & Century, J. (2010) · Journal of Research in Science Teaching · doi:10.1002/tea.20347 · Cited by 1,538 · see citing works
The Failure of Input‐based Schooling Policies
Hanushek, E. A. (2003) · The Economic Journal · doi:10.1111/1468-0297.00099 · Cited by 1,245 · see citing works
A Framework for K-12 Science Education
National Research Council (2012) · National Academies Press eBooks · doi:10.17226/13165 · Cited by 1,230 · see citing works
Coburn, C. E. (2001) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737023002145 · Cited by 1,190 · see citing works
Supporting and Promoting Argumentation Discourse in Science Education
Duschl, R. A., & Osborne, J. F. (2002) · Studies in Science Education · doi:10.1080/03057260208560187 · Cited by 1,172 · see citing works
Planning Early for Careers in Science
Tai, R. H., Liu, C. Q., Maltese, A. V., & Fan, X. (2006) · Science · doi:10.1126/science.1128690 · Cited by 1,102 · see citing works
Kolodner, J. L., Camp, P. J., Crismond, D., Fasse, B., Gray, J., Holbrook, J., Puntambekar, S., & Ryan, M. (2003) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1204_2 · Cited by 1,061 · cited 2× · see citing works
“…2002; Duschl, Schweingruber, & Shouse, 2007; Krajcik, McNeill, & Reiser, 2008; McNeill & Krajcik, 2008; Songer & Gotwals, 2012); performance assessments such as problem- or project-based learning assignments (Kolodner et al., 2003); writing assignments (Wiggins, 1990); and classroom presentations.”
BackgroundExperimental and Quasi-Experimental Studies of Inquiry-Based Science Teaching: A Meta-Analysis
Furtak, E. M., Seidel, T., Iverson, H., & Briggs, D. C. (2012) · Review of Educational Research · doi:10.3102/0034654312457206 · Cited by 1,021 · see citing works
Inquiry and the National Science Education Standards
Board on Science Education, & Education, D. O. B. A. S. S. A. (2000) · National Academies Press eBooks · doi:10.17226/9596 · Cited by 980 · see citing works
Smith, M. S., & O'Day, J. (1990) · Journal of Education Policy · doi:10.1080/02680939008549074 · Cited by 809 · see citing works
Below the Bubble: “Educational Triage” and the Texas Accountability System
Booher-Jennings, J. (2005) · American Educational Research Journal · doi:10.3102/00028312042002231 · Cited by 762 · see citing works
Aschbacher, P. R., Li, E., & Roth, E. J. (2010) · Journal of Research in Science Teaching · doi:10.1002/tea.20353 · Cited by 742 · see citing works
Shaping Teacher Sensemaking: School Leaders and the Enactment of Reading Policy
Coburn, C. E. (2005) · Educational Policy · doi:10.1177/0895904805276143 · Cited by 694 · see citing works
Learning to teach science as inquiry in the rough and tumble of practice
Crawford, B. A. (2007) · Journal of Research in Science Teaching · doi:10.1002/tea.20157 · Cited by 690 · see citing works
Does school accountability lead to improved student performance?
Hanushek, E. A., & Raymond, M. E. (2005) · Journal of Policy Analysis and Management · doi:10.1002/pam.20091 · Cited by 663 · see citing works
Challenges New Science Teachers Face
Davis, E., Petish, D., & Smithey, J. (2006) · Review of Educational Research · doi:10.3102/00346543076004607 · Cited by 612 · see citing works
The Changing Roles of Teachers in an Era of High-Stakes Accountability
Valli, L., & Buese, D. (2007) · American Educational Research Journal · doi:10.3102/0002831207306859 · Cited by 610 · see citing works
Leadership of Inquiry: Building and Sustaining Capacity for School Improvement
Copland, M. A. (2003) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737025004375 · Cited by 582 · see citing works
Complexity, Accountability, and School Improvement
O’Day, J. (2002) · Harvard Educational Review · doi:10.17763/haer.72.3.021q742t8182h238 · Cited by 510 · see citing works
The Case for Authentic Assessment
Wiggins, G. (1990) · University of Massachusetts Amherst · doi:10.7275/ffb1-mm19 · Cited by 493 · see citing works
Berland, L. K., & McNeill, K. L. (2010) · Science Education · doi:10.1002/sce.20402 · Cited by 482 · see citing works
Merriam, S. B. (2009) · Jossey-Bass eBooks · Cited by 438 · see citing works
Krajcik, J., McNeill, K. L., & Reiser, B. (2008) · Science Education · doi:10.1002/sce.20240 · Cited by 430 · see citing works
Riegle‐Crumb, C., Moore, C., & Ramos‐Wada, A. I. (2010) · Science Education · doi:10.1002/sce.20431 · Cited by 393 · see citing works
Accountability Policies and Teacher Decision Making: Barriers to the Use of Data to Improve Practice
Ingram, D., Louis, K. S., & Schroeder, R. G. (2004) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2004.00379.x · Cited by 373 · see citing works
Research on Data Use: A Framework and Analysis
Coburn, C. E., & Turner, E. O. (2011) · Measurement: Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2011.626729 · Cited by 365 · see citing works
Kerr, K. A., Marsh, J. A., Ikemoto, G. S., Darilek, H., & Barney, H. (2006) · American Journal of Education · doi:10.1086/505057 · Cited by 341 · see citing works
Data in Practice: Conceptualizing the Data-Based Decision-Making Phenomena
Spillane, J. P. (2012) · American Journal of Education · doi:10.1086/663283 · Cited by 308 · see citing works
Leonardi, P. M. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2129878 · Cited by 282 · see citing works
Teachers’ Use of Data: Loose Coupling, Agenda Setting, and Team Norms
Young, V. M. (2006) · American Journal of Education · doi:10.1086/505058 · Cited by 281 · see citing works
The Nation's Report Card: Science 2000
O'Sullivan, C. Y., Lauko, M. A., Grigg, W. S., Qian, J., & Zhang, J. (2003) · PsycEXTRA Dataset · doi:10.1037/e610352011-009 · Cited by 265 · see citing works
Practices That Support Data Use in Urban High Schools
Lachat, M. A., & Smith, S. (2005) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1207/s15327671espr1003_7 · Cited by 261 · see citing works
Wayman, J. C. (2005) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1207/s15327671espr1003_5 · Cited by 250 · see citing works
Making Sense of Test-Based Accountability in Education
Hamilton, L. S., Stecher, B. M., & Klein, S. P. (2002) · Defense Technical Information Center (DTIC) · Cited by 233 · see citing works
Coburn, C. E., Toure, J., & Yamashita, M. (2009) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146810911100403 · Cited by 220 · see citing works
Supovitz, J. A. (2009) · Journal of Educational Change · doi:10.1007/s10833-009-9105-2 · Cited by 206 · see citing works
Redesigning Accountability Systems for Education
Fuhrman, S. H., & Elmore, R. F. (2004) · Teachers College Press eBooks · doi:10.1037/e565272006-001 · Cited by 204 · see citing works
Making Sense of Data-Driven Decision Making in Education: Evidence from Recent RAND Research
(2006) · RAND Corporation eBooks · doi:10.7249/op170 · Cited by 202 · see citing works
Wayman, J. C., & Stringfield, S. (2006) · American Journal of Education · doi:10.1086/505059 · Cited by 200 · see citing works
No Child Left Behind and Science Education: Opportunities, Challenges, and Risks
Marx, R. W., & Harris, C. J. (2006) · The Elementary School Journal · doi:10.1086/505441 · Cited by 194 · see citing works
Marsh, J. A., Sloan McCombs, J., & Martorell, F. (2010) · Educational Policy · doi:10.1177/0895904809341467 · Cited by 181 · see citing works
(2008) · Cited by 167 · see citing works
Johnson, C. C. (2006) · School Science and Mathematics · doi:10.1111/j.1949-8594.2006.tb18172.x · Cited by 164 · see citing works
Marsh, J. A., Bertrand, M., & Huguet, A. (2015) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146811511700411 · Cited by 152 · see citing works
Data, Dyads, and Dynamics: Exploring Data Use and Social Networks in Educational Improvement
Daly, A. J. (2012) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146811211401103 · Cited by 142 · see citing works
Nelson, T. H., Slavit, D., Perkins, M., & Hathorn, T. (2008) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146810811000601 · Cited by 137 · see citing works
The Development of Elementary-Aged Children's Career Aspirations and Expectations
Auger, R. W., Blackhurst, A. E., & Wahl, K. H. (2005) · Professional School Counseling · Cited by 125 · see citing works
Milner, A. R., Sondergeld, T. A., Demir, A., Johnson, C. C., & Czerniak, C. M. (2011) · Journal of Science Teacher Education · doi:10.1007/s10972-011-9230-7 · Cited by 113 · see citing works
Teacher needs for data-related professional learning
Wayman, J. C., & Jimerson, J. B. (2013) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2013.11.001 · Cited by 112 · see citing works
High school teachers’ use of data to inform instruction
Datnow, A., Park, V., & Kennedy-Lewis, B. (2012) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1080/10824669.2012.718944 · Cited by 110 · see citing works
Palmer, D. K., & Rangel, V. S. (2010) · Educational Policy · doi:10.1177/0895904810374848 · Cited by 108 · see citing works
Breiter, A., & Light, D. (2006) · Cited by 103 · see citing works
Guiding explanation construction by children at the entry points of learning progressions
Songer, N. B., & Gotwals, A. W. (2012) · Journal of Research in Science Teaching · doi:10.1002/tea.20454 · Cited by 102 · see citing works
District-Wide Effects on Data Use in the Classroom
Wayman, J. C., Cho, V., Jimerson, J. B., & Spikes, D. D. (2012) · Education Policy Analysis Archives · doi:10.14507/epaa.v20n25.2012 · Cited by 97 · see citing works
Making formative assessment discernable to pre‐service teachers of science
Buck, G. A., Trauth, A., & Kaftan, J. M. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20344 · Cited by 95 · see citing works
SOFTWARE ENABLING SCHOOL IMPROVEMENT THROUGH ANALYSIS OF STUDENT DATA
Wayman, J. C., Stringfield, S., & Yakimowski, M. E. (2004) · Cited by 93 · see citing works
Building Teachers’ Data-use Capacity: Insights from Strong and Developing Coaches
Huguet, A., Marsh, J. A., & Farrell, C. C. (2014) · Education Policy Analysis Archives · doi:10.14507/epaa.v22n52.2014 · Cited by 76 · see citing works
Cho, V., & Wayman, J. C. (2014) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146811411600203 · Cited by 75 · see citing works
Professional Learning for Using Data: Examining Teacher Needs & Supports
Jimerson, J. B., & Wayman, J. C. (2015) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146811511700405 · Cited by 74 · see citing works
The Effects of Accountability System Design on Teachers’ Use of Test Score Data
Jennings, J. L. (2012) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146811211401108 · Cited by 72 · see citing works
Getting at Student Understanding - the Key to Teachers’ Use of Test Data
Supovitz, J. A. (2012) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146811211401105 · Cited by 64 · see citing works
Implementation of a Districtwide Policy to Improve Principals’ Instructional Leadership
Carraway, J. H., & Young, T. V. (2015) · Educational Policy · doi:10.1177/0895904814564216 · Cited by 61 · see citing works
Teachers' Use of Student Data Systems to Improve Instruction.
Means, B., Gallagher, L. P., & Padilla, C. (2007) · US Department of Education · Cited by 49 · see citing works
Teachers’ Responses to Standards-Based Accountability
Hamilton, L. S., Berends, M., & Stecher, B. M. (2005) · Cited by 45 · see citing works
Swinnerton, J. A. (2007) · Journal of School Leadership · doi:10.1177/105268460701700203 · Cited by 37 · see citing works
Opfer, V. D., Henry, G. T., & Mashburn, A. J. (2007) · American Journal of Education · doi:10.1086/521242 · Cited by 36 · see citing works
Assessment and science education: Our essential new priority?
Songer, N. B., & Ruiz‐Primo, M. A. (2012) · Journal of Research in Science Teaching · doi:10.1002/tea.21033 · Cited by 34 · see citing works
Teachers' Use of Student Data Systems to Improve Instruction: 2005 to 2007.
Gallagher, L. P., Means, B., & Padilla, C. (2008) · US Department of Education · Cited by 28 · see citing works
State Test Data and School Improvement Efforts
Beaver, J. K., & Weinbaum, E. H. (2013) · Educational Policy · doi:10.1177/0895904813510774 · Cited by 21 · see citing works
Measuring Instructional Responses to Standards-Based Accountability
Hamilton, L. S., & Stecher, B. M. (2006) · Cited by 16 · see citing works
Working with Middle School Science Teachers to Design and Implement an Interactive Data Dashboard
Rangel, V. S. (2016) · doi:10.13140/rg.2.1.4255.6564 · Cited by 1 · see citing works
Flagged first, then by citations
2 of the 81 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Horn, I. S., Kane, B. D., & Wilson, J. (2015). Making Sense of Student Performance Data: Data Use Logics and Mathematics Teachers' Learning Opportunities. American Educational Research Journal. doi: 0002831215573773.
- Khattri, N., & Sweet, D. (1996). Assessment reform: Promises and challenges. In M. B. Kane & R. Mitchell (Eds.), Implementing performance assessment (pp. 1-22). Mahwah, NJ: Lawrence Erlbaum.
- McNeill, K. L., & Krajcik, J. (2008). Inquiry and scientific explanations: Helping students use evidence and reasoning. In J. Luft, R. Bell, & J. Gess-Newsome (Eds.), Science as inquiry in the secondary setting (pp. 121 -134). Arlington, VA: National Science Teachers Association Press.
- National Research Council (2011). Successful K-12 STEM Education: Identifying effective approaches in science, technology, engineering, and mathematics. Washington, DC: National Academy Press.
Cited by
Sorted by citations
Reeves, T. D., & Chiang, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.03.004 · Cited by 45 · see citing works
Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021
Lee, J., Alonzo, D., Beswick, K., Abril, J. M. V., Chew, A. W., & Oo, C. Z. (2024) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-024-09435-8 · Cited by 40 · see citing works
Michos, K., Schmitz, M.-L., & Petko, D. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11772-y · Cited by 39 · see citing works
A descriptive analysis of instructional coaches’ data use in science
Rangel, V. S., Bell, E. R., & Monroy, C. (2017) · School Effectiveness and School Improvement · doi:10.1080/09243453.2016.1255232 · Cited by 11 · see citing works
Self-citationSecondary Science Teachers’ Definition and Use of Data in Their Teaching Practice
Boesdorfer, S. B., Carlo, D. I. D., & Wayson, J. (2020) · Research in Science Education · doi:10.1007/s11165-020-09936-8 · Cited by 5 · see citing works
In-Service Teacher Access to and Use of Non-Academic Data for Decision Making
Reeves, T. D., Wei, D., & Hamilton, V. (2021) · The Educational Forum · doi:10.1080/00131725.2020.1869358 · Cited by 4 · see citing works
The Ecology of Analytics in Education: Stakeholder Interests in Data-Rich Educational Systems
Berthelsen, U. D., & Tannert, M. (2019) · International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) · doi:10.3991/ijai.v1i1.11023 · Cited by 3 · see citing works
Educator Access to and Use of Data Systems
Tsai, T., & Tosh, K. (2019) · RAND Corporation eBooks · doi:10.7249/rr2575.8 · Cited by 3 · see citing works
Educator Access to and Use of Data Systems
Berglund, T., & Tosh, K. (2020) · RAND Corporation eBooks · doi:10.7249/rr2575.8-1
Exploring the Status of Teachers' Data Literacy in Smart Classroom Environments
Rui, J., & Li, Y. (2024) · International Conference on Education Technology and Computer · doi:10.1145/3702163.3702425
Aydeniz, M., Şenler, B., & Bilican, K. (2026) · e-Kafkas Eğitim Araştırmaları Dergisi · doi:10.30900/kafkasegt.1840595
- Authors
- Snodgrass Rangel, V., Monroy, C., & Bell, E.
- Affiliations
- Rice University (US)
- Venue
- Education Policy Analysis Archives
- Published
- 2016-08-08
- Volume
- 24
- Pages
- 86
- ISSN
- 1068-2341 (ISSN-L)
- OpenAlex
- W2481344026
- Cited by
- 11
- References
- 81
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2021: 1 · 2020: 2 · 2019: 3 · 2016: 1
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Education Policy Analysis Archives (publishedVersion, cc-by-nc-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- Funders
- National Science Foundation (1417705)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Teacher Education and Assessments
- Social Sciences › Education › Science Education and Pedagogy
- Keywords
- science teachers, teacher data use, educational data mining, high-stakes accountability, science achievement, low-income students, African American students, Hispanic students, elementary school science, education policy
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