A quality rating and improvement system (QRIS) is a voluntary state assessment system that uses multidimensional data on early childhood education programs to rate program quality, support quality improvement efforts, and provide information to families about the quality of available early childhood education programs. QRISs have two components:…

This paper seeks to chart a course for leveraging a micro-credentialing system to enable more educators to achieve the potential of professional learning. The paper uses the Standards for Professional Learning as a frame to provide guidance to everyone involved in micro-credentials to ensure that learners experience the research-based elements of…

A research gap exists with regard to the analysis of school children and adolescents' awareness on environmental issues. Current investigation analyzes data of 240 children and adolescents, aged between 8 and 14 years, within different school contexts in the mid-southern region of Brazil, on their knowledge level and moral judgment on solid…

In general, data governance refers to the overall management of the availability, usability, integrity, quality, and security of data. A sound data governance program includes a governing body or council, a definition and allocation of authority, a defined set of procedures, and a plan to execute those procedures. This brief offers best practices…

Every Student Succeeds Act (ESSA) requires all states to collect and report school-level expenditure information, state education agencies (SEAs) are considering whether to set statewide rules for local education agencies (LEAs) around how to assign expenditures. Specifically, many states are wondering whether they need to standardize a practice…

There is a priority for schools to address students' social and emotional needs as we do academic learning. Tiered models of prevention provide a framework for teaching social skills and behavioral expectations, as well as academics, with positive, proactive, evidence-based practices. Central to responding to students' needs is accurate…

Bayesian statistical methods have become more feasible to implement with advances in computing but are not commonly used in educational research. In contrast to frequentist approaches that take hypotheses (and the associated parameters) as fixed, Bayesian methods take data as fixed and hypotheses as random. This difference means that Bayesian…

Despite nearly two decades of research, researchers have not resolved whether people generally perceive their skills accurately or inaccurately. In this paper, we trace this lack of resolution to numeracy, specifically to the frequently overlooked complications that arise from the noisy data produced by the paired measures that researchers employ…

Research data management is a prominent and evolving consideration for the academic community, especially in scientific disciplines. This research study surveyed 131 graduate students and 79 faculty members in the sciences at two public doctoral universities to determine the importance, knowledge, and interest levels around research data…

Studies about effective practice in Higher Education (HE), student retention, progression and attainment suggest that student engagement is a major factor in success. A sense of belonging to a community of students and academics is seen as key to creating effective engagement. Such studies have identified interventions that have proved successful…

Students with severe and persistent academic or behavioral challenges may benefit from data-based individualization (DBI). Starting with an evidence-based standard protocol and systematic progress monitoring, teachers can evaluate growth and implement individualized interventions to meet students' needs. Specifically, this article addresses the…

This study aimed at comparing two types of IELTS writing task 1 namely, bar charts and tables of Iranian test takers in terms of four IELTS writing assessment criteria including task achievement, coherence and cohesion, lexical resource, and grammar range and accuracy. The study also sought to identify test takers' strengths and weaknesses in the…

Objective: In the first study of its kind, the impact of excluding noncredit enrollments in calculations of spending in community colleges is explored. Noncredit enrollments are not reported to Integrated Postsecondary Education Data System (IPEDS), but expenditures for these efforts are. This study corrects for this omission and provides new…

We introduce a novel approach to visualizing temporal clickstream behaviour in the context of a degree-satisfying online course, "Habitable Worlds," offered through Arizona State University. The current practice for visualizing behaviour within a digital learning environment is to generate plots based on hand-engineered or coded features…

The 2015-16 Civil Rights Data Collection (CRDC) is a survey of public schools and school districts in the United States. The CRDC measures student access to courses, programs, staff, and resources that impact education equity and opportunity for students. The CRDC has long provided critical information used by the Department of Education's Office…