The paper critiques key international teaching excellence and higher education outcomes frameworks for their lack of attention to epistemic equality. It subsequently argues that adequate 'datafication' of these frameworks, to demonstrate the extent to which universities offer teaching experiences which promote intellectual equivalence of all…

Background: Data use has been promoted as a panacea for instructional improvement. However, the field lacks a detailed understanding of how teachers actually use assessment data to inform instruction and the factors that shape this process. Purpose: This article provides a review of literature on teachers' use of assessment data to inform…

aimswebPlus® is an assessment, data management, and reporting system that provides national and local performance and growth norms for the screening and progress monitoring of math and reading skills for all students in kindergarten through 8th grade. aimswebPlus uses two types of measures: (1) "curriculum-based measures" (CBMs)--brief,…

This study was conducted to systematically track and benchmark upper primary school students' ESL reading comprehension ability and subsequently generate data at the micro and macro levels according to individual achievement, school location, gender and ethnicity at the school, district, state and national levels. The main intention of this…

The role of data analysis in the jobs of instructional leaders has become as commonplace as teachers creating lesson plans and taking roll in the classroom. Teachers and building leaders routinely use interim assessment data to develop thoughtful and robust instructional plans that address identified areas of student need. The link between the…

The Illinois Initiative on Transparency in Learning and Teaching is a grassroots assessment project designed to promote students' conscious understanding of how they learn and to enable faculty to gather, share, and promptly benefit from data about students' learning by coordinating their efforts across disciplines, institutions, and countries.…

Response to Intervention (RtI) is a data-driven process that supports the academic needs of students through targeted interventions to address specific identified areas of weakness. When implemented effectively, RtI aids students at the onset of learning concerns and can remediate learning problems which have, in the past, led to students being…

Recent years have seen increased interest in data-driven decision making in education; that is, using various types of data, particularly quantitative assessment data, to inform a range of decisions in schools and classrooms. At the same time, districts, states, and schools have invested resources in tools designed to provide teachers, principals,…

Education leaders and much literature exhort teachers and school leaders to use data more often and more effectively to guide planning and decision making--called, "data driven decision making." This term is ubiquitous in literature and reform discourse, but "on the ground," so to speak, practitioners face significant challenges in analyzing,…

Although interim assessments are currently promoted as a mechanism for improving teaching and student learning, we know little about how teachers use this data to modify instruction. This article presents findings from a larger study on teachers' use of interim assessment information in elementary mathematics. We address the following questions:…

New Mexico Mathematics Content Standards, Benchmarks, and Performance Standards identify what students should know and be able to do across all grade levels, forming a spiraling framework in the sense that many skills, once introduced, develop over time. While the Performance Standards are set forth at grade-specific levels, they do not exist as…

Researchers and policymakers are increasingly interested in the issue of school accountability. Despite this, program standards for afterschool programs are not as fully developed as they are in other fields. This study bridges that gap and presents the results from a study that identifies benchmarks and indicators for high quality afterschool…

This chapter discusses how Central Piedmont Community College (CPCC) has used data from the National Community College Benchmark Project. Analysis of project benchmark data led to a review of high course-withdrawal rates and CPCC withdrawal policies as well as their effects on student program completion and within-term retention. As a result, the…

Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The "Handbook on Measurement, Assessment, and Evaluation in Higher Education" provides higher…

Purpose: To provide a best practice framework for peer review via teaching observation as a method of appraising teaching performance within UK higher education (HE) institutions. Design/methodology/approach: The paper uses secondary data analysis via the current literature on peer review and peer appraisal, as well as use of primary data obtained…