Reform efforts in statistics education emphasize the need for students to develop statistical thinking. Critical to this goal is a solid understanding of design in the process of collecting data, evaluating evidence, and drawing conclusions. We collected survey responses from over 700 college students at the start of an introductory statistics…

This report provides actionable recommendations based on real-world case studies that libraries can apply to help make their own collaborations successful and sustainable. The report shares experiences from the Texas Data Repository, Portage Network, and Data Curation Network to illuminate the challenges, opportunities, and considerations of…

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

The rates of death by suicide and the prevalence of mental health conditions in children and youth are a world-wide crisis. Education and school health promotion have a key role in supporting children, however initiatives and interventions are siloed and provide supports to only a few students. In this qualitative study with quantitative…

Purpose: This paper aims to address research gaps around third party data flows in education by investigating governance practices in higher education with respect to learning management system (LMS) ecosystems. The authors answer the following research questions: How are LMS and plugins/learning tools interoperability (LTI) governed at higher…

The purpose of this multi-site study is to gain an understanding of what practices principals are employing that are impacting the effectiveness of the instructional coaches, as measured by student achievement on end of year state assessments. This study looked at three Tier 3 schools in Miami Dade County Public Schools (MDCPS) that showed…

Despite long-standing efforts to address and eliminate disproportionality in special education, inequities remain and continue to negatively impact Black, Indigenous, and other students of color with Individualized Education Programs. This brief from the Western Educational Equity Assistance Center (WEEAC) supports state education agencies, local…

This study seeks to understand the relationship between research data management (RDM) services framed in the data curation life cycle and the production of open data. An electronic questionnaire was distributed to US researchers and RDM specialists, and the results were analyzed using Chi-Square tests for association. The data curation life cycle…

Recent technology advances have enabled the collection of keystroke logs during writing, a non-intrusive approach to collecting writing process data that could provide insights into writers' editing and revising behaviors in the writing process. Using keystroke logs from 761 middle school students in the US, this study investigated the association…

The exponential growth of scientific publications increases the effort required to identify relevant articles. Moreover, the scale of studies is a frequent barrier to research as the majority of studies are low or medium-scaled and do not generalize well while lacking statistical power. As such, we introduce an automated method that supports the…

This issue of "Assessment Update" presents a three part series on fixing assessments. In Part 1: "Assessment Standards are Broken," David Eubanks highlights the challenges with the assessment standards articulated by institutional accreditors. In this article, Part 2: Megan R. Good, discusses the opportunity costs faced and…

A comparative longitudinal data analysis between two online non-thesis master's programs--natural resource management and environmental science--in a college of natural resources to determine the relationship between student characteristics and disenrollment risks. Risks varied between the two programs, with significance found to increase the risk…

The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…

This report aims to showcase the value of implementing a Bayesian framework to analyse and report results from international large-scale surveys and provide guidance to users who want to analyse the data using this approach. The motivation for this report stems from the recognition that Bayesian statistical inference is fast becoming a popular…

One of the most exciting products generated and refined through the Early Learning Network studies is a web-based classroom assessment tool known as OLOS -- the Optimizing Learning Opportunities for Students Observation System. The OLOS tool focuses on improving student outcomes by providing teachers with real-time data to support individualized…