Differentiated instruction (DI) is a beneficial approach to addressing students' diverse learning needs, abilities, and interests to ensure that each student has the opportunity to make academic progress. To answer the question of how teachers utilize DI in K-12 classrooms, this systematic review was based on 61 empirical studies on DI published…

The aim of this study was to identify the components of fair classroom assessment and formulate a conceptual framework for it by following the steps proposed by Okoli and Schabram for a systematic review. For this purpose, three databases including ERIC, Elsevier, and Springer were systematically searched. As a result of this research, 39…

This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…

State summative assessments play an important role in measuring student learning and guiding educational improvement efforts, despite their limitations. But there is growing momentum in individual states and nationally to rethink these assessments with an eye toward reducing time spent on testing and increasing the tests' instructional relevance.…

Learning styles (LS) have been used for classifying students by their preferences relative to taking information in, processing it and demonstrating their ability in the context of education. This paper investigates the role of LS in K-12 education by considering the manner in which student LS are assessed and the extent to which they have…

The 1994 National Standards for Arts Education were succeeded by a new generation of standards published in 2014 by the National Coalition for Core Arts Standards (NCCAS). This iteration of voluntary standards provided a new foundation for designing curriculum for visual arts education. The design of the standards utilized the curriculum model…

This Research Brief describes a model developed as an alternative method for making ESOL exit decisions in 2019-2020. Given the cancellation of the 2019-2020 Statewide student assessment, FSA ELA results which are used as one of the two major components for making ESOL exit decisions will not be available, and an alternative method is needed. This…

Data from multiple school sources, including informant ratings, systematic direct observations (SDOs), and school wide data (e.g., office disciplinary referrals [ODRs]) are routinely used to guide decision making in the delivery of evidence based practices for students with externalizing and internalizing behavior problems. Over 50 years of…

The purpose of this paper is to provide a model for educational leadership faculty who aspire to walk the talk of effective feedback by embedding standards-based grading (SBG) in their courses. Rather than focusing on learning, points are the currency of K-12 classrooms across the country. Over 100 years of grading research suggests typical…

Students' ability to apply mathematical knowledge to various situations has been one of the major concerns in mathematics education research. However, little is known about the assessment strategies that have a substantial contribution to the development of mathematical problem-solving skills in kindergarten children through to upper secondary…

Teachers are thrown open to abundance of free text answers which are very daunting to read and evaluate. Automatic assessments of open ended answers have been attempted in the past but none guarantees 100% accuracy. In order to deal with the overload involved in this manual evaluation, a new tool becomes necessary. The unique superlative model…

A small but growing number of schools and districts across the country are experimenting with personalized learning, an innovation that customizes students' experiences to their individual needs and strengths. Through new kinds of environments, technologies, and ways to demonstrate their knowledge, personalized learning aims to meet students where…

Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

Large-scale academic assessments have played a dominant role in U.S. federal and state education policies over the past couple of decades. Among the many validity issues that presently concern test users is the evaluation of alignment among large-scale assessments and the academic content and performance standards on which they are based. This…

The authors develop model analyses based on a U.S. Department of Education guide to illustrate procedures a State could use to compare and contrast school-level overall and English Learner accountability determinations for proficiency in reading/language arts under the options allowed by the Every Student Succeeds Act. As a technical reference,…