This paper examines how elementary school systems can use data to implement strategies and drive instruction for young learners. Drawing primarily on Bryk's (2010) five essential supports framework — developed from Chicago school improvement research — the paper identifies key data-driven areas including instructional guidance, professional capacity, parent-community ties, student-centered climate, and leadership. It also incorporates Korkmaz's (2006) work on organizational health and school vision, as well as National Assessment of Educational Progress (NAEP) databases. The paper proposes a qualitative research design supplemented by quantitative data, reflects on methodological challenges, and discusses how findings might inform practice and school-level decision-making in an era of accountability and constrained budgets.
In any setting, there is a best way to do something, and elementary school systems are no exception. In the Digital Age, however, trying to make sense of the enormous amounts of information available is often like trying to take a sip from a fire hose, and many educators may be at a loss concerning how to use available data to its best effect. Therefore, identifying ways that school systems have used data to implement strategies and drive instruction represents a timely and valuable enterprise.
In an era of dwindling state budgets for education and increasing calls for accountability on the part of teachers and principals — driven by a long string of federal mandates such as the Individuals with Disabilities Education Act and the No Child Left Behind Act — the need for cost-effective methods of assessing the effectiveness of curricular offerings and teacher performance is paramount. It is axiomatic that in order to improve something it must first be measured, so there is also an ongoing need for innovative ways to use existing secondary data to identify opportunities for improvement that might otherwise be overlooked. The overarching purpose of this study was therefore to identify current approaches to using data of different types to implement strategies and drive instruction for elementary students.
The problem question that guided this study was: "How do school systems use data to implement strategies and drive instruction for elementary students?"
The research question used to guide this study had two parts: (a) What type of data is available for performance-related analyses as well as to identify opportunities for improvement? and (b) How can this data be used to implement strategies and drive instruction for elementary students?
In the Age of Information, there is typically a wide array of data about any elementary school system available — whether in print or online — that can be used to track changes in performance indicators and identify trends. However, the specific types of data needed for any particular educational initiative may not be readily available or may require fine-tuning existing computer-based applications. It is useful, therefore, to establish some common areas in which data is widely used from the outset.
Performance-based metrics such as standardized test scores can be used to assess the effectiveness of current instruction, and this data is already used for this purpose across the country and the globe. Some educational analysts have applied such data across several realms of elementary school operations to determine current performance levels and what could be done to improve educational instruction. For instance, a study by Bryk (2010) — currently president of the Carnegie Foundation for the Advancement of Teaching — examined innovative ways to use data to implement strategies and drive instruction in the Chicago school system. Bryk identified five key data-driven areas for improving elementary school instruction, summarized below.
This area is characterized by schools that have demonstrated student learning improvements based on coherent instructional guidance systems specifying how instruction will be delivered and what curricular content will be offered. Analytical elements include the learning tasks required of students, results of standardized testing regimens used to provide feedback and inform instructional development, and the quality of tools, materials, and instructional routines shared by faculty. While individual teachers enjoy significant discretion in resource allocation, overall effectiveness relates to the quality of supports and the local community of practice that guide their use and refinement.
Elementary school teachers and principals can work together to improve instruction, but for them to become proficient at this process they must have access to ongoing training opportunities and collaborative exchanges. Measurable dimensions of this area include: (1) professional development that supports teacher learning; (2) the faculty's capacity to work together to improve instruction; (3) the school's ability to recruit and retain capable staff; (4) the efficacy of performance feedback and professional development; and (5) the social resources within a staff to work together to solve local problems.
Recruiting and sustaining the active involvement of parents is an essential ingredient in any data-driven effort to improve instruction. Measuring this dimension can provide useful insights into existing gaps in the school-parent-community continuum. This is arguably the most cost-effective approach to improving academic outcomes — one of the main goals of all elementary schools. More active involvement by parents with schoolwork and curricular content may also yield significant tangential benefits that transcend mere grades, making this an especially important area for assessment.
The type of climate cultivated by responsible adult educators has a profound effect on the quality of instruction provided. This dimension can be measured by the extent to which the school: (1) encourages young people to consider themselves learners; (2) creates a positive, safe, and orderly environment conducive to learning; and (3) celebrates ambitious academic work ethics while providing support for each young learner.
Although all five support indicators are essential for success, a growing body of knowledge suggests that leadership may be the single most important pillar. According to Bryk, "Principals in improving schools engage in a dynamic interplay of instructional and inclusive-facilitative leadership. On the instructional side, school leaders influence local activity around core instructional programs, supplemental academic and social supports, and the hiring and development of staff" (2010, p. 24). Measurable dimensions of this area include the extent to which a principal: (1) establishes strategic priorities for using resources and buffers externalities that might distract from coherent reform; (2) develops relationships across the school community, recognizing that improving teaching and learning places demands on those relationships; (3) advances instrumental objectives while enlisting teachers in the change effort; and (4) cultivates a growing cadre of leaders — teachers, parents, and community members — who can help expand the reach of reform and share overall responsibility for improvement.
Based on extensive primary survey data collected from teachers, principals, and students in the Chicago area, Bryk and his colleagues developed secondary data indicators for each of the five essential supports, tracked changes in these indicators over time, and then associated performance-related outcomes with changes in student attendance and learning gains in reading and mathematics. Key findings included the following:
(1) Schools with strong indicators on most supports were ten times more likely to improve than schools with weak supports. (2) Half of the schools strong on most supports improved substantially in reading. (3) Not a single school weak on most supports improved in mathematics. (4) A material weakness in any one support, sustained over several years, undermined other change efforts, and improvement rarely resulted (Bryk, 2010, p. 25).
Bryk frequently equates these five supports with pillars: the absence or sustained weakness in one pillar threatens the performance of the entire school on the others. Like an automobile that will not run properly without all its components, simply focusing on one pillar will not produce the well-functioning educational machinery that can be achieved when all five supports are in place. According to Bryk, "This statistical evidence affords a strong warrant that how we organize schools is critical for student achievement. Improving schools entails coherent, orchestrated action across all five essential supports. Put simply, there is no one silver bullet" (2010, p. 24). Although there is no silver bullet, the secondary data-driven approach used by Bryk could be applied to elementary schools in any setting, though additional primary data may be required to formulate a school-specific analysis.
"Korkmaz's leadership and organizational health findings"
"NAEP data and mathematics instruction challenges"
This type of study requires a qualitative research design supplemented by quantitative data sets such as standardized test results and other performance measures already in use, as well as the results of any primary research conducted to replace, augment, or otherwise inform the analytical process. Based on the qualitative research design selected, a purposive sampling technique would be a suitable methodology for collecting the data needed to assess each of the five pillars described by Bryk. According to Neuman (2003), purposive sampling is "a type of nonrandom sample in which the researcher uses a wide range of methods to locate all possible cases of a highly specific and difficult to reach population" (p. 542).
An exploratory data collection strategy would be used to gather the statistical data needed for this type of study, with as many relevant data sources as possible located and integrated. All statistical data would be analyzed using Excel or SPSS Version 11.0 for Windows (Student Version), and the results would be qualitatively synthesized. By focusing on an individual school, the results generated by this approach may not be generalizable beyond a single school; however, the analytical framework itself is transferable in wholesale fashion to any academic setting.
"Challenges, implications, and personal practice insights"
Always verify citation format against your institution’s current style guide requirements.