Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…

Decision-making is a critical topic in any management and organizational behavior course. Navigating and understanding the various processes and influences on decision-making, however, can be complicated. This article revises and expands on a common "employee ranking" format activity. It uses in-class student data to systematically…

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…

Powered by educational policy recommendations around the world, studies on different aspects of data-driven decision making have soared both in number and scope in different educational contexts. However, despite the availability of diverse data, second or foreign language research has been quite tardy in the study of language teachers'…

Curriculum-based measurement in reading (CBM-R) is a commonly used tool for universal screening and progress monitoring in K-12 education and is one that can add value to decision-making. However, the social validity of this measure among teachers is often questioned. Reasons some teachers have traditionally opposed the use of CBM-R have included…

Evidence based decision making is essential for enabling improved student learning. Teacher motivations and beliefs about the types and use of data are critical determinants of decision making. Our research explored the types of data teachers use and consider valuable when measuring improvement in student learning. Findings from 294 teachers from…

The research addresses how post-secondary education can enhance Black student participation in STEM fields, which historically lag behind their White counterparts. Through improvement science, the researchers test the effectiveness of providing scaffolded learning and awareness modules for faculty and staff to enhance curricular design efforts and…

The researchers believe that post-secondary education can provide a greater number of Black students with degrees in the fields of Science, Technology, Engineering, and Math (STEM). Using improvement science, this research aims to test whether providing scaffolded learning and awareness modules around success in STEM programs for faculty and staff…

Data-driven decision-making (DDDM) refers to the process of using data to inform educational decisions. Due to DDDM's positive effects on student achievement and the pressure for educational accountability, DDDM has become a recent focus of numerous educational policies. However, few teachers fully utilize DDDM. While, broadly, DDDM may use…

This mixed-methods sequential explanatory study aimed to evaluate the self-efficacy and anxiety of learning disabilities teachers (LD teachers) regarding data-driven decision-making (DDDM). The initial phase involved surveying 309 LD teachers, followed by in-depth interviews with five participants to gain further insights. The study's second phase…

Background: Local government (LG) is ideally placed to influence the determinants of public health (PH) and reduce inequalities, but opportunities are routinely missed. Aims and objectives: The aim of the Local Authority Champions of Research (LACoR) study was to explore ways to embed a culture of evidence use in LG. Methods: Five linked work…

This study investigated the process of instructional change required to translate data on student progress along learning trajectories (LTs) into relevant instructional modifications. Researchers conducted a professional development session on ratio LTs, which included analyzing 3 years of district-level data from Math-Mapper 6-8, a digital…

In this study, it was aimed to develop a Likert-type scale that will allow to measure the effectiveness of data-driven decision-making in schools in a valid and reliable way. The study group of the research consists of 179 school administrators working in public primary, secondary and high schools in Kahramanmaras province in the 2019-2020…

This report provides information about the sample, survey instrument, and resultant data for the 2021 Learn Together Surveys (LTS) that were administered to secondary principals and teachers in March 2021 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several…

The school librarian has a critical role to play in the 21st-century school learning environment. However, because of the constant changes in K-12 school environments and the difficult decisions administrators must make about allocating money to best help students, school librarians must rigorously document their professional growth and impact.…