The Government Performance and Results Modernization Act of 2010 defines major management challenges as programs or management functions that are vulnerable to waste, fraud, abuse, and mismanagement, and where a failure to perform well could seriously affect the ability of the U.S. Department of Education (Department) to achieve its mission or…

In this study, we used a paper-pencil questionnaire to investigate whether teachers, administrators, and parents differed in their preferences and accuracy when interpreting visual data displays for decision making. For the data analysis, we used nonparametric tests due to violations of distributional assumptions for using parametric tests. We…

This profile describes the AIChE Concept Warehouse (CW) website, a community developed, web-based tool to decrease instructional barriers and to help faculty implement concept-based active learning in class. The CW provides three distinct but complementary functions: (a) a content repository, (b) an audience response system and learning management…

In the identification process, there may be gifted students who may be unnoticed or students who are misdiagnosed and are disappointed. In this context, this study is a step that may solve these two problems about the identification of mathematically gifted students with the help of data mining, which is data analysis methodology that has been…

In this summary article, six recommendations for the design, implementation, and interpretation of educational evaluations are presented and discussed. These recommendations are based on common "threads" that run through most, if not all, of the papers included in this special issue. The recommendations concern (1) the need for awareness…

The Next-Generation Science Standards (NGSS) challenge primary teachers and students to work and think like scientists and engineers as they strive to understand complex concepts. Teachers and teacher educators can leverage what is already known about inquiry teaching as they plan instruction to help students meet the new standards. This…

This publication seeks to consider statistics education in Japan while referencing a student paper. The paper to be considered is as follows: "Gakusei no Koudou ga Gakusei Seikatsu Manzokudo ni Ataeru Eikyou" (The Influence of Student Behavior on the Degree of Satisfaction Perceived in Student Life).

The data team intervention was designed to support Dutch secondary schools in using data while developing a solution to an educational problem. A data team can build school-wide capacity for data use through knowledge sharing among data team members, and knowledge brokerage between the team and other colleagues. The goal of this mixed-methods…

The value of the National Association for Developmental Education (NADE) accreditation process is far-reaching. Not only do students and programs benefit from the process, but also the entire institution. Through data collection of student performance, analysis, and resulting action plans, faculty and administrators can work cohesively towards…

This timely book presents a data-driven approach to preventing and responding to school violence. As school violence receives increasing attention across the nation, the application of scientific knowledge is critical. For maximum effectiveness, transdisciplinary teams should use school data, logic models, and theories of change to design,…

Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…

Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…

In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…

It has been well documented that children's development is enhanced within the context of supportive parent-child relationships (Mortensen & Mastergeorge, 2014). Research also indicates that any daily activity of a child holds the potential for multiple learning opportunities if parents and other caregivers are supported in their capacity to…

This qualitative case study examines how board members make sense of federal accountability policies and how their sensemaking shapes their use of assessment data as a policy instrument. Deviating from previous work on practitioner sensemaking, the participants' interpretations of assessments did not align with their ensuing use of the data.…