Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…

Data can be a powerful tool for self-evaluation, goal setting, and advocacy in the school library. Regardless of the grade level or the size of the student body, any school library has meaningful data to mine and learn from. Basic data such as circulation numbers can impact a myriad of areas relevant to student learning such as collection…

The State Higher Education Executive Officers Association's (SHEEO) "Communities of Practice" project builds upon SHEEO's ongoing efforts to measure the capacity and effective use of state postsecondary data systems and provides states with opportunities to develop solutions to common issues with those systems. The sixth Community of…

What happens in schools can have a great and lasting impact on the future wellbeing and outcomes for young people. Schools therefore play an important role in supporting students' engagement and wellbeing. These elaborations are intended to support the work of schools by providing further specificity about the practices in each of the nine domains…

In this paper, we propose the Social Semantic Server (SSS) as a service-based infrastructure for workplace and professional learning analytics (LA). The design and development of the SSS have evolved over eight years, starting with an analysis of workplace learning inspired by knowledge creation theories and their application in different…

The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…

This paper examines processes of datafication in early childhood education (ECE) settings for children from birth-five years in England and how this relates to increased formalisation. Unusually, ECE in England includes a standardised curriculum and formative and statutory assessments; thus it has been described as subject to both datafication and…

The aim of this study is to analyze research methods, data collection tools, and data analysis methods of the needs assessment studies conducted in the language education and teaching process. In this study, the general screening model, which is based on an examination of research on needs analysis, was used. The data collected in accordance with…

Though we have recently witnessed the "exponential production of digital data to measure, analyze, and predict educational performance" (Salajan & Jules, this volume), there has not been sufficient attention given to the quantitative methods that are used to process and transform this data in order to arrive at findings related to…

Background/Context: This article advances scholarship from curriculum theorists, educational philosophers, and educational researchers unpacking the dehumanizing aspects of education. Focus of Study: The article maps the role of the tree as a measuring and organizing apparatus of curriculum and unpacks possibilities for utilizing rhizomes as a way…

Introduction: During systematic reviews, data abstraction is labor- and time-intensive and error-prone. Existing data abstraction systems do not track specific locations and contexts of abstracted information. To address this limitation, we developed a software application, the Data Abstraction Assistant (DAA) and surveyed early users about their…

In recent years, there has been an explosion in the demand for personnel with analytics skills. Given that the demand for this skill set cuts across so many disciplines, it is a useful addition to any major and an ideal candidate as an academic minor. Furthermore, as the underlying analytics tools and techniques used by data analysts emerged…

Nonresponse is an increasing problem in sample surveys and student surveys are no exception. When nonrespondents differ from respondents in meaningful ways, respondents may not be representative of the population. Hence, analyses of survey data may be biased and not generalizable to the population. In this chapter we provide an overview of…

Virtual learning environments (VLEs) are increasingly used at-scale in educational contexts to facilitate teaching and promote learning, and the data they produce can be used for educational research purposes. Meanwhile, the U.S. Department of Education's Office of Educational Technology has repeatedly emphasized the importance of using evidence…

With the growth of tech-driven instructional possibilities, school systems have an increasingly urgent responsibility for schools to continuously assess and improve student data-protection practices. Attai, a project director for the Consortium for School Networking, outlines a program designed to help education leaders master the fundamentals of…