Most states have developed or revised school accountability systems in response to the Every Student Succeeds Act (ESSA). While these systems include multiple indicators, to many stakeholders the outcome of central interest is the overall rating or classification produced for each school. These ratings are often used to identify schools that merit…

The purpose of this study was to develop a jazz improvisation rubric for the evaluation of collegiate jazz improvisation. To create this measure, research objectives were devised to investigate the aurally-observed performer-controlled components of improvisation, which aurally-observed components should be evaluated in an improvisatory…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…

Bloom's taxonomy is a resource commonly used to assess the cognitive level associated with course assignments and examination questions. Although widely utilized in educational research, Bloom's taxonomy has received limited attention as an analytical tool in the anatomical sciences. Building on previous research, the Blooming Anatomy Tool (BAT)…

This article examines the validity of IQ-achievement discrepancy and low achievement as criteria for the identification of disabilities in Spanish-speaking English-language learners (ELs) and the factors that moderate the validity of these approaches as bases for identification. While there has been a long history of examining the validity of…

This article examines the validity of IQ-achievement discrepancy and low-achievement as criteria for the identification of disabilities in Spanish-speaking ELs and the factors that moderate the validity of these approaches as bases for identification. While there has been a long history of examining the validity of different approaches to…

As the theme of the 2022 annual meeting of the American Education Research Association, cultivating equitable education systems has gained renewed attention amid an increasingly diverse society. However, systemic inequalities persist for traditionally underserved student populations. As a way to better address diverse students' needs, it is of…

University ranking or higher education assessment in general has been attracting more and more public attention over the years. However, the subjectivity-based evaluation index and indicator selections and weights that are widely adopted in most existing ranking systems have been called into question. In other words, the objectivity and…

When education works, it creates productive, innovative citizens eager to contribute to a well-functioning democracy. In contrast, educational failure has lifelong consequences, with some individuals experiencing decades of preventable hardship. Dawn Flanagan and Joel Schneider write in this response that, like Kranzler, Floyd, Benson, Zabowski,…

In roughly a decade, university rankings gained the foreground in the policy arena for higher education and their influence is not going to decrease. However, several methodological shortcomings and warnings about the unintended consequences for national higher education systems have been raised. Against this background, this paper stresses that…

Given the longstanding role of grades in education, and their increased use for high-stakes decisions including student mobility, admission, selection, and accountability, this paper presents a systematic review of grading policies across all 10 Canadian provinces and 3 territories. In total, 23 policies were inductively analyzed for their…

There are good reasons for higher education institutions to use learning analytics to risk-screen students. Institutions can use learning analytics to better predict which students are at greater risk of dropping out or failing, and use the statistics to treat "risky" students differently. This paper analyses this practice using…

The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…

Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…

Recent years have seen a rise in the number of students identified with autism spectrum disorder (ASD), with increasing estimates of prevalence still emerging from cohorts monitored by the Centers for Disease Control and Prevention. However, dissemination to a school psychology audience about these students' needs has been disparate, with…