The U.S. Department of Education's Office of Special Education Programs collects data on how states implement the Individuals with Disabilities Education Act through the mandated State Performance Plan/Annual Performance Report (SPP/APR). Some indicators in the SPP/APR require state educational agencies (SEAs) to report data by race and ethnicity.…

State and local education agencies continue to make an effort to systematically assess school climate through student surveys. These assessments typically collect data from individual students about their perceptions of different components of the school and their relationship to individuals in the school and aggregate those responses to the…

Technology-based, open-ended learning environments (OELEs) can capture detailed information of students' interactions as they work through a task or solve a problem embedded in the environment. This information, in the form of log data, has the potential to provide important insights about the practices adopted by students for scientific inquiry…

The School Climate Measure (SCM) is a comprehensive measure of school climate that has demonstrated significant psychometric support and available free of charge. The goal of this research-informed commentary is to provide readers with necessary knowledge to make an informed decision of the appropriateness of the SCM for use in their school or…

The global COVID-19 health pandemic caused major interruptions to educational assessment systems, partially due to shifts to remote learning environments, entering the post-COVID educational world into one that is more open to heterogeneity in instructional and assessment modes for secondary students. In addition, in 2020, educational inequities…

Using data effectively is a critical skill for the modern school leaders. This case presents a school district where local interest groups are demanding changes regarding school safety and inclusion. Students have the opportunity to respond to a disciplinary equity audit and school climate survey. While interpreting and using data in a meaningful…

Online environments can cultivate what have been referred to as 21st century skills and capabilities, as youth contribute, pursue, share, and interact around work and ideas. Such environments also hold great potential for addressing digital divides related to the development of such skills by connecting youth in areas with fewer resources and…

Cynthia Coburn and Erica Turner have made an important contribution by developing a framework to synthesize the various strands of research and theory related to data use in schools. The framework illustrates the complexity of the pathways between the adoption of a data-use intervention and the attainment of desired outcomes, and it clarifies the…

The purpose of this paper is to identify school effects on student performance for tertiary entrance in Australia, taking into account student-level predictors using longitudinal data from the 2003 Programme for International Student Assessment (PISA) study. It finds that aspects of schooling, such as positive attitudes to school and disciplinary…

This study details the collection, analysis, and interpretation of data from a national multi-institutional longitudinal mixed methods study of college impact and student development of liberal arts outcomes. The authors found three sets of practices in the quantitative data that corroborated with the themes that emerged from the qualitative data:…

If the full impact of the transformation of the school counseling profession is to be enacted, it is incumbent upon school counselor educators to model the same skills and professional mindset that are expected of practicing school counselors. Specifically, school counselor educators can serve as leaders within their educational communities in…

The purpose of the study was to comparatively investigate student- and school-level factors affecting mathematics achievement of Korean, Japanese and American students. For international comparisons, the PISA 2003 data were analysed by using the Hierarchical Linear Modeling method. The variables of competitive-learning preference, instrumental…

During the last 10 years, new models of funding and training PhD students have been established in Denmark in order to integrate industry into the entire PhD education. Several programmes have been conducted where it is possible to co-finance PhD scholarships or to become an employee as an industrial PhD in a company. An important question is what…

The article presents empirical evidence for the effectiveness and efficiency of a modified version of Trochim's (1989a, b) concept mapping approach to define the characteristics of an adaptive learning environment. The effectiveness and the efficiency of the method are attributed to the support that it provides in terms of elicitation, sharing,…

Analyzes two possible assessment outcomes: (1) differing results on two or more assessments; and (2) loss of achievement after improvement cycle. Proposes short- and long-term solutions to problematic results, including analyzing differences in tests and pre-planning to avoid flaws in assessment design. (NB)