High school teachers’ use of data to inform instruction
Abstract
The expectation that teachers will use student achievement data to improve their instruction is a major feature of national and local reform agendas. The theory of action behind data-driven decision making is a mostly causal model of professional action, whereby teachers diagnose weaknesses and implement solutions. The purpose of this article is to examine how high school teachers, situated within their policy and work contexts, use data to inform instructional decisions. Using a framework that draws upon sense-making and co-construction theories on reform implementation, we analyze qualitative data gathered in 4 urban public high schools in the United States. Findings reveal that the process of data use by teachers is complex, multilayered, and influenced by teacher interpretations and social interactions. Teachers used a variety of forms of data to inform their decision making and struggled to reconcile policies promoting data-driven decision making with local beliefs and practices. Implications for research and policy are discussed.
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Many studies pointed to the importance of collaboration between teachers in regard to DBDM, and some also found this for AfL.
“Many studies pointed to the importance of collaboration between teachers in regard to DBDM”
From Formative assessment: A systematic review of critical teacher prerequisites for classroom practice (2020) · cites this paper as Datnow et al., 2012
The use of DBDM increasingly requires ICT skills, for example, regarding how to use information management systems and assessment systems.
“The use of DBDM increasingly requires ICT skills as found in several studies, for example, regarding how to use information management systems and assessment systems”
From Formative assessment: A systematic review of critical teacher prerequisites for classroom practice (2020) · cites this paper as Datnow et al., 2012
Collaboration between teachers involves transforming data into information through discussing and making sense of data/assessment results.
“Transforming data into information through discussing and making sense of data/assessment results (Datnow et al., 2012, 2013; Feldman & Capobianco, 2008; Schildkamp & Kuiper, 2010; Schildkamp et al., 2012; Schildkamp, Karbautzki et al., 2014; Young, 2006)”
From Formative assessment: A systematic review of critical teacher prerequisites for classroom practice (2020) · cites this paper as Datnow et al., 2012
A negative attitude can hinder the use of DBDM or AfL.
“A negative attitude can hinder the use of DBDM or AfL”
From Formative assessment: A systematic review of critical teacher prerequisites for classroom practice (2020) · cites this paper as Datnow et al., 2012
Collaboration between teachers involves discussing and developing plans for action, for example, instructional plans or strategies.
“Discussing and developing plans for action, for example, instructional plans or strategies (Datnow et al., 2012, 2013; Farley-Ripple & Buttram, 2014; Feldman & Capobianco, 2008; Levin & Datnow, 2012; Park & Datnow, 2009; Schildkamp & Kuiper, 2010; Schildkamp et al., 2012; Schildkamp, Karbautzki et al., 2014; Young, 2006).”
From Formative assessment: A systematic review of critical teacher prerequisites for classroom practice (2020) · cites this paper as Datnow et al., 2012
If teachers are resistant toward data use, do not believe that it can lead to improvement, do not believe that data actually reflect on their teaching, and would rather rely on their experiences and intuition, this can hinder data use in schools.
“For example, if teachers are resistant toward data use, do not believe that it can lead to improvement, do not believe that data actually reflect on their teaching, and would rather rely on their experiences and intuition, this can hinder data use in schools”
From Formative assessment: A systematic review of critical teacher prerequisites for classroom practice (2020) · cites this paper as Datnow et al., 2012
Much work on teachers' data literacy, including Mandinach and Gummer's, has tended to focus on teachers' data use in relation to teaching, instructional improvement, or student academic performance.
“Secondly, it appears that much work on teachers’ data literacy, including that of Mandinach and Gummer, has tended to focus on teachers’ data use in relation to teaching (e.g., Beck et al., 2020; Datnow et al., 2012) and instructional improvement (e.g., Datnow et al., 2021; Kerr et al., 2006; Wachen et al., 2018) or in relation to student academic performance (e.g., Poortman & Schildkamp, 2016; St”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Datnow et al., 2012
Understanding school culture encompasses navigating challenges associated with using assessment data in the school.
“This encompasses recognizing the conditions that may facilitate or hinder teachers’ data use (Abdusyakur & Poortman, 2019; Anderson et al., 2010; Keuning et al., 2017) and navigating various challenges associated with using assessment data in the school (Datnow et al., 2012; Ford, 2018; Kanjee & Moloi, 2014; Thomas & Huffman, 2011).”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Datnow et al., 2012
Teachers' skills in data use involve analysing multiple sources of data on student learning outcomes.
“Teachers’ skills in data use also involve selecting specific data types appropriate for different purposes (Anderson et al., 2010; Jimerson et al., 2016; Kanjee & Moloi, 2014), analysing multiple sources of data on student learning outcomes (Datnow et al., 2012; Vanlommel et al., 2021; von der Embse et al., 2021), and integrating multiple data sources to arrive at a holistic assessment of student”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Datnow et al., 2012
Teachers' data literacy can be manifested in their use of data for multiple purposes, primarily in three areas: enhancing teaching practices, supporting student learning, and making plans and strategies for school improvement.
“Our review suggests that teachers' data literacy can be manifested in their use of data for multiple purposes, primarily in three areas: (a) to enhance teaching practices (e.g., Datnow et al., 2012, 2021; Farrell, 2015; Gelderblom et al., 2016; Wachen et al., 2018), (b) to support student learning (e.g., Joo, 2020; Lockton et al., 2020; Staman et al., 2017; Vanlommel et al., 2021; van der Scheer &”
From Dimensions of teachers’ data literacy: A systematic review of literature from 1990 to 2021 (2024) · cites this paper as Datnow et al., 2012
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References 30 · Cited by 110
- Authors
- Datnow, A., Park, V., & Kennedy-Lewis, B.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Datnow, Amanda
- Venue
- Journal of Education for Students Placed at Risk (JESPAR)
- Publisher
- Informa UK Limited
- Published
- 2012-10
- Volume
- 17
- Issue
- 4
- Pages
- 247-265
- ISSN
- 1082-4669 (ISSN-L)
- 1532-7671
- OpenAlex
- W1990001632
- Cited by
- 110
- References
- 30
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 5 · 2023: 6 · 2022: 17 · 2021: 8 · 2020: 9 · 2019: 9 · 2018: 12 · 2017: 9 · 2016: 10 · 2015: 6 · 2014: 6
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Education for Students Placed at Risk (JESPAR) (publishedVersion)
- Funders
- NewSchools Venture Fund
- William and Flora Hewlett Foundation
- New Venture Fund
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Teacher Education and Leadership Studies
- Social Sciences › Education › Teacher Education and Assessments
- Keywords
- data-driven decision making, instructional decision-making, secondary school teachers, sensemaking, co-construction, educational reform implementation, teacher beliefs, urban public schools, education policy
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