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The effective use of student data has gained increasing attention in the past 10 years. Although district leaders would like to support data use and improvement, exactly how to go about such work systemically is often unclear. Accordingly, the aim of this chapter is to illuminate the inner workings of data use throughout a mid-sized school district. In doing so, we highlight issues in how data were used and supported, and provide discussion about how districts such as this one may improve data use throughout the district.

The use of data for instructional improvement is prevalent in today’s educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs).

Data were collected through a comparative case study of two low-income, low-performing schools in one district. The data set included interview and focus group transcripts, observation field notes and documents, and was iteratively coded.

The two principals in the study employed tools and routines differently to influence ways that teachers interacted with data in their PLCs. Teachers who were given leeway to co-construct data-use tools found them to be more beneficial to their work. Findings also suggest that teachers’ data use may benefit from more flexibility in their day-to-day PLC routines.

Closer examination of how tools are designed and time is spent in data-use PLCs may help the authors further understand the influence of the principal’s role.

Previous research has demonstrated that data use can improve teacher instruction, yet the varied implementation of data-use PLCs in this district illustrates that not all students have an equal opportunity to learn from teachers who meaningfully engage with data.

The purpose of this paper is to use an extreme case to identify and describe the nature of routines that might support processes and outcomes of data use, drawing from a framework developed by Coburn and Turner (2012a).

The author conducted a four-month case study (Stake, 1995) of an elementary school in a large urban school district that had implemented balanced score cards. The author identified a school that had strong qualities to support data use, including leadership and information systems.

Two school-level organizational routines facilitated teachers’ data use: collaborative teams and processes of inquiry. These routines stored knowledge about the types of data teachers ought to notice, and to a lesser extent, how they ought to interpret data and construct implications for practice. These routines also provided opportunities for single and double-loop learning (Argyris and Schön, 1996) and might contribute to improvements in student learning. This case provides an example of how a school negotiated external performance management pressures, and maintained their professional autonomy, focussing on internally initiated assessments.

Relatively little research has described what organizational routines support data use among practitioners. In addition to describing two routines, this case also demonstrated the need to frame these routines as organizational routines for learning. To further develop these routines, the author drew on the notion of the knowledge-creating company (Nonaka and Takeuchi, 1995) to explain how the school used their organizational routines to share tacit knowledge (socialization), and to convert tacit knowledge to explicit knowledge (externalization), which supported instructional innovations.

The Ethiopian educational system has witnessed considerable structural and curricular changes aimed to address access, equity and relevance. At the same time, there are serious concerns about educational quality as a consequence of these changes. Data use can be an important approach for changing the planning, execution, monitoring and evaluation of activities having the purpose of improving teaching and learning. The purpose of this paper is, therefore, to investigate data use in primary education in Ethiopia.

Using a mixed methods approach, surveys and semi-structured interviews were conducted to collect data from a cluster random sample of eight primary schools representing four different levels of effectiveness in implementing a mandated school improvement program in Ethiopia.

The availability of wider ranges of input, process, outcome and context data per se does not ensure actual use. A complex combination of data, user and organizational factors influences data use in schools, with organizational factors appearing to be most influential. Unrealistic accountability pressures and lack of targeted supervision support seemed to cause unintended data use, such as abuse of data.

Schools need more systematic professional development in data use, with explicit attention to school leadership. Moreover, it is important to make educational inspection processes more responsive to the demands of the school improvement process by adding aspects of the school improvement tradition, such as data-based decision making.

This study contributes to understanding of the nature, characteristics and processes of data use in a developing country context, in which competing accountability mandates often shape policy and practice.

Data use cultures in schools determine data use practices. Such cultures can be muted by powerful macro accountability and organizational learning cultures. Further, strong equity-oriented data use cultures are challenging to establish. The purpose of this paper is to engage these cultural tensions.

The data discourse and decisions of four grade-level teams in two elementary schools in one district were studied through observation of 62 grade-level meetings over the course of a year. The observations focused on “data talk,” defined as the structure and content of team conversations about interim student performance data.

Distinct macro cultures of accountability and organizational learning existed in the two schools. The teams’ own data use cultures partly explained the absence of a focus on equity, and none of the teams used student performance data to make instructional decisions in support of the district’s equity aims. Leadership missed opportunities to cultivate an equity-focused data use culture.

School leaders who advocate that equity importantly guides data use routines, and can anticipate how cultures of accountability or organizational learning “show up” in data use conversations, will be better prepared to redirect teachers’ interpretations of data and clarify expectations of equity reform initiatives.

This study is novel in its concept of “data talk,” which provided a holistic but nuanced account of data use practices in grade-level meetings.

Many studies have underlined data use for school improvement. However, these are mainly based on developed countries; studies on data use are still lacking on developing countries. The purpose of this paper is to investigate data use in Indonesian primary schools. This study is based on a conceptual framework focusing on kinds of data, purposes of data use and factors promoting or hindering data use in schools.

The authors employed a mixed-method research design, with a total of 194 teachers and 28 heads of schools from 60 schools participating in the survey. Based on the survey analysis, six schools were purposively sampled for a multiple-case study approach.

The results show that Indonesian primary schools have similar kinds of data available and most data are used for accountability purposes only. These findings might be explained by the government trying to counter-balance the schools’ autonomy, so that the focus of data use seems to be more on accountability than on school development and instructional purposes. The results also reveal that the factors had a different influence for each data use purpose: high data use schools provided insight into promoting factors, while the low data user schools provided an understanding of hindering factors.

This study makes a scientific contribution by offering understanding of data use in a different context. Indonesia has become decentralized in most state functions, including education. Therefore, this study can be used as a guideline for future studies of data use in other developing countries context in supporting the decentralization of educational systems.

An increasing number of schools and districts across the US are requiring teachers to collaborate for the purpose of data‐driven decision making. Research suggests that both data use and teacher collaboration are important ingredients in the school improvement process. Existing studies also reveal the complexities of teacher collaboration and the importance of context in shaping teachers’ collaborative work, especially with data. Yet, the intersection of teacher collaboration and data use has been understudied. The purpose of this paper is to examine the affordances and constraints that exist in the context of established teacher collaboration time for the purposes of data‐driven decision making.

The paper draws upon qualitative case study data gathered in six schools that structured teacher time for collaboration on data use.

An analysis of the data revealed that a variety of leadership activities and organizational conditions shaped teachers’ collaborative work with data. These included leadership focused on thoughtful use of data and the framing of data‐driven decision making in terms of collective responsibility; the establishment of norms for teacher collaboration; the implementation of data discussion protocols; and teacher groupings and subject matter subcultures.

Knowing how and when a leadership activity or organizational condition becomes either an affordance or a constraint to teacher collaboration around data use has important implications for leadership and educational change. The findings of this study also help to lay the groundwork for future research regarding teacher collaboration around data use.

Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such interventions on student outcomes.

In this study, the authors employ a systematic literature review and meta-analysis to analyse teacher PDIs for data use.

The results suggest that conceptual, practical and continual goals are identified in data use PDIs. Supported by conceptual, practical or normative tools, facilitators employ a variety of techniques in facilitating teachers’ data use through data teams or professional learning communities. The facilitation techniques include assessing needs, using models or modelling, observing performance, providing feedback, providing built-in time for reflection and brokering. Further, the results highlight the influence of several conditions that contribute to the success of the interventions. Finally, the meta-analysis shows a significant positive effect of the interventions on student outcomes, with an effect size of 0.17.

The authors' proposed framework should be empirically tested and validated through field studies in various contexts. Since the authors focussed on studies reporting data use PDIs for instructional purposes as well as providing the descriptions of the PDIs, the number of included studies was only 27 and represented only four countries. Of the 27, 10 studies were used for the meta-analysis and the results may be subject to publication bias. Seemingly, the result may be related to the authors' inclusion/exclusion criteria that only included peer-reviewed journal articles and excluded non-peer-reviewed studies such as theses or dissertations. This criterion potentially neglected some relevant studies.

Policymakers interested in developing a data use PDI should take into account the various goals of data use PDIs, depending on policymakers' interests. Building teachers’ understanding of data use can be addressed by the practical goals. This can be conducted within a short period of time through training or courses, either in-person or online. This is appropriate for an initiation strategy for data use within schools. However, targeting specific skills and dispositional attributes around data use should adopt practical and continual goals. These types of goals require a PDI with a sustained duration embedded in teachers’ classroom practices; therefore, political and practical support is necessary.

The authors argue that the review findings contribute to knowledge and insights by presenting data use PDIs that support teacher learning, implementation and sustainability of data use practices.

This article provides a proposed framework for studying teacher PDIs for data use and sheds light on several goals, a variety of facilitation strategies and conditions and the effect of the interventions on student outcomes.

Drawing on Coburn and Turner's framework for research on data use, this study looks at how contextual factors support interactions around data. In so doing, the authors contribute to the emerging body of literature on administrators supporting high school students' social-emotional learning (SEL).

This two-site case study “follows the data” that were shared with administrators at two high schools based on a longitudinal study of students' SEL. One author of this study has been leading a research project of high school students' SEL in two high schools from two different districts in a Midwest university town since 2017. This study follows what happened in both high schools after the author shared students' SEL data with district personnel.

Findings showed that participants were invested in increasing SEL programming. However, SEL data moved in different ways through the two schools, and all individuals had different ideas about which data were important. Each district dealt with a specific set of organizational norms, existing inequities, and beliefs systems that influenced which SEL data were noticed and how, if at all, data spurred action.

Specific aspects of organizational contexts support and constrain SEL data use. Both cases suggest researchers can guide data use practices that can advance students' SEL. However, each district dealt with a specific set of educational inequities, which influenced which data were noticed and how, if at all, data spurred action. Importantly, data-driven decision-making must be conducted from an equity lens, lest the process replicate existing inequities.