Data-informed decision-making in teachers' practice, now recommended by different teacher inquiry models and policy documents, implies deep practice change for many teachers. However, not much is known about how teachers perceive the different steps that analytics-informed teacher inquiry entails. This paper presents the results of a study into…

Human resources (HR) represent the most significant investment on most of our college campuses in terms of time and financial resources. The importance of good data about the workforce begins with establishing a need for a new position. That need for data continues with recruiting, hiring, training, promoting, retaining (or not), and retiring…

Given that our current educational context has required many educators to utilize online instruction in some capacity over the past year, the purpose of this paper is to describe how literacy specialists and teachers can use digital tools to remotely engage in data-based decision-making within a collaborative professional learning community.…

Despite wanting to make data-informed decisions, the educational system is experiencing the common problem of being data rich yet information poor. Educators have data, often a plethora of data; however, the system struggles to turn that data into effective action. Rising out of information poverty requires three shifts. First, the educational…

Recent research has demonstrated that elementary school leaders, under pressure to meet benchmarks set by state and federal governments, have begun "staffing to the test," moving to tested grades and subjects teachers whose previous students made substantive learning gains. This is particularly true in lower-performing schools or schools…

Students with or at-risk for emotional and behavioral disorders pose an immense challenge for educators, and typical practices to address them are punitive and exclusionary, leading to poor academic and social outcomes for students. To address the complex needs of students with intensive emotional and behavioral needs, evidence-based practices and…

While designs of professional learning have expanded exponentially beyond the required-attendance inservice day workshop model, infusing meaningful data into daily decisions and conversations has not gained as much traction. Leaders of professional learning are increasingly coming under pressure to demonstrate that evidence is not an anathema in…

The concept of data-informed decision making (DIDM), a term used interchangeably with data-driven decision making (DDDM) and data-based decision making (DBDM), is relatively new to Irish education and the school planning process. This research sought to clarify what data principals use and how they use that information for school improvement…

On the long and arduous journey toward effective educational assessment, business schools have progressed in their ability to clearly state measurable learning goals and use direct measures of student learning. However, many schools are wrestling with the last stages of the journey--measuring present learning outcomes, implementing…

Purpose: The purpose of this article is to examine the data conversation moves enacted by leaders and to bridge organizational leadership for equity and data-informed decision making to practice. I argue that data discussion moves with the purpose of improving equity and learning must reflect core tenets of organizational leadership for…

The Interconnected Systems Framework (ISF) blends school mental health practices, systems, and resources into all levels of a multitiered system of supports (e.g., positive behavior interventions and supports). The ISF aims to improve mental health and school performance for all students by emphasizing effective school-wide promotion and…

Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…

Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet-to-be-developed data science approaches have the potential to dramatically advance instruction for every student and to enhance learning for people of all ages. Next steps that emerged from a recent National…

The purpose of this article is to highlight educational accountability and its relevance to occupational therapy. New federal investments are under way so that states can identify measures and procure data that indicate improved outcomes for students with disabilities. School occupational-therapy practitioners must advocate for their distinct…

Every Student Succeeds Act (ESSA, 2015) moves education further along the path toward becoming the evidence-based and data-driven profession that policy makers have continually called for. They have stressed the need for hard evidence to undergird educational decisions rather than relying on anecdotes and intuitions. This means teachers must…