Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…

Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…

Specifications Grading was implemented in a multisection upper-level analytical chemistry laboratory, the first reported for a full lab course redesign in the discipline or in an upper-level chemistry lab class. The primary goals of the redesign were (1) to assess student proficiency of three separate goals: techniques, data quality, and written…

Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

Lawson (1983a) offered that an individuals' experiences as students in schools are significant in shaping their views of teaching. Pajares (1992) argued that a teacher's perceptions of the classroom are a product of their experiences as students. The purpose of this study was to examine the relationship between physical education (PE) pre-service…

This chapter describes how any campus can use collaborative professional integration and three "data buckets" (pre-college, during-college, and post-college buckets) to disaggregate assessment evidence, interpret findings contextually, and focus attention on realistic actions to improve student performance in the areas of leverage over…

Summit Public Schools (SPS), a California-based charter school network established in 2003, is widely promoted nationally as a success story to be emulated. A policy environment friendly to charter schools and digital technologies, together with hundreds of millions of dollars in technology industry contributions, enabled its growth and its…

The Aurora Institute has released state policy recommendations to enable our education system to transition from an industrial age "one-size-fits-all" model, to a future-focused model that supports education innovation, student agency, builds knowledge, and prioritizes mastery of skills and knowledge over seat time. The six identified…

This work studied an institution's experiences with acceleration and placement reform in English coursework as changes in these measures affected student persistence, completion, and subject mastery in English composition. Through assessing student learning outcomes after placement reform and acceleration, this study compared students' success…

In an international policy environment of intensified high-stakes accountability, pupil assessment data are an invaluable commodity and critical indicator of both school and teacher effectiveness. Teachers' engagement with pupil data and the associated experiences of increased accountability are of great consequence, and highly contentious for…

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…

In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…

This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…

Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students' processes as they progress through learning…

States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…