Teaching statistics to undergraduate business students is an enduring challenge, often due to student apprehension and low understanding of relevance. The Data to Decision Project is an approach designed to address this challenge. At the onset of an introductory statistics course, fifty-two students received instruction on the Define, Collect,…

The data sets used in statistics education have changed over time, from mathematically "well-behaved" ones that facilitated computation, to more context-rich sources and now, with the increasing influence of data science practices, to "found" data, often from open data sites. As data sources change, it is important for…

We present an exercise for teaching the transportation problem using a mix of spatial and randomly generated data. It illustrates the potential of using qualitative and quantitative data and is suitable for undergraduate or introductory business school courses on operations research (OR), logistics, and supply chain management. It poses two…

This study aimed at understanding and investigating the lived experiences of early childhood teachers' observation practices as a professional tool. Interpretative phenomenological approach was utilized to investigate participants' experiences deeply from their lived experiences. The current study's participants consisted of five early childhood…

Addressing racial disparities in school discipline is an urgent and widespread issue facing US schools. One approach to improve racial equity in school discipline practice is to enhance the contextual fit of empirically validated schoolwide practices. Schoolwide Positive Behavioral Interventions and Supports (SWPBIS) is a widely implemented and…

Students with or at-risk for emotional and behavioral disorders pose an immense challenge for educators, and typical practices to address them are punitive and exclusionary, leading to poor academic and social outcomes for students. To address the complex needs of students with intensive emotional and behavioral needs, evidence-based practices and…

Addressing racial disparities in school discipline is an urgent and widespread issue facing U.S. schools. One approach to improve racial equity in school discipline practice is to enhance the contextual fit of empirically validated school-wide practices. School-wide Positive Behavioral Interventions and Supports (SWPBIS) is a widely implemented…

"Data-drive instruction can distort the way reading is taught, harming the students who need high-quality instruction the most," Susan B. Neuman concludes from her research team's two years of observation in nine low-income New York City schools. She describes how some students are reminded that they are "failures" every day by…

Monitoring academic progress to guide instructional practices is an important role of teachers in a small rural school district in the Southern United States. Teachers in this region were experiencing difficulties using the approved school district model to implement data-driven instruction. The purpose of this qualitative case study was to…

Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…

Statistical literacy is a vital component of numeracy. Students need to learn to critically evaluate and interpret statistical information if they are to become informed citizens. This article examines a Year 5 unit of work that uses the data collection and analysis cycle within a sustainability context.

The process toward academic literacy aims at developing academic reading and writing together with higher academic competences of increasing relevance for undergraduate students as future teachers and researchers. Such a process is even more complex in ELT vocational courses where non-English speaking trainees study English as a system while they…

Context: Collaboration within school teams is considered to be important to build the capacity school teams need to work in a data-based way. In a school characterized by a strong collaborative culture, teachers may have more access to the knowledge and skills for analyzing data, teachers have more opportunity to discuss the performance goals to…