Through the lenses of statistical investigations and cognitive demands, we examined bivariate data tasks offered in US high school mathematics textbook series--a popular representative of three curriculum types: traditional, integrated, and hybrid. We developed a framework grounded in literature of association topics for the inclusion and…

Education Development Center's (EDC) systemic equity review framework helps education leaders take a deeper look at inequities in order to understand the complex systems that affect student performance. While equity audits have historically played a role in curriculum assessments and state accountability systems, achievement gaps by race and class…

Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…

This guide describes a five-step collaborative process that educators can use with other educators, researchers, and content experts to write or adapt questions and develop surveys for education contexts. This process allows educators to leverage the expertise of individuals within and outside of their organization to ensure a high-quality survey…

Formerly "Educators Resource Directory," "Educators Resource Guide" is designed to provide educators, administrators, and other education professionals with immediate access to a unique combination of educational resources, along with important educational statistics and rankings. "Educators Resource Guide" includes…

This practice guide is one of a set of resources for increasing equity in school discipline. The guides are based on the Center on PBIS's 5-Point Equity Approach, which has been shown to be effective in increasing equity in schools (link to…

More data are collected, analyzed, and stored now than at any other time in history. Data processes play a foundational role in just about every professional discipline, and data stakeholders all over the world are grappling with modernizing and optimizing data governance policies and practices. In this rapidly evolving landscape, what challenges…

Background: Scientific thinking is an essential learning goal of science education and it can be fostered by inquiry learning. One important prerequisite for scientific thinking is procedural understanding. Procedural understanding is the knowledge about specific steps in scientific inquiry (e.g. formulating hypotheses, measuring dependent and…

This study introduces data mining methods to accounting education scholarship to explore the relationship between accounting students' current academic performance (grades), demographic information, pre-university entrance scores and predicted academic performance. It adopts a C4.5 classification algorithm based on decision-tree analysis to…

This pilot study examined (a) the perceived barriers to creating high-quality social and emotional learning (SEL) IEP goals for autistic students without intellectual disabilities, and (b) the impact of using a data-driven SEL IEP goal builder--a key component of the Ivymount Social Cognition Instructional Package (IvySCIP)--on the quality of SEL…

This original research is directed towards the information literacy of international master's students, focusing on the evaluation of their information-seeking behaviour during competitive and business intelligence processes, together with the subsequent verification methods they use once the desired information is found. During this research, 207…

Job advertisements provide accessible and practical data to explore labour market dynamics and recruitment trends. This paper presents a scoping review of empirical studies using teacher or teacher educator job advertisements as primary data. Particularly, this review will provide a structured overview of the methodology and objectives of the…

Technology continues to change and improve the marketing profession. Marketing research technologies such as eye-tracking and facial expression analysis allow marketers to gain more insights into consumer behaviors. Recently, these technologies have become more affordable and applicable in the classroom learning environment. A very recent addition…

This chapter explores how the Wisconsin Technical College System Student Success Center and the Success Center for Ohio Community Colleges provided support that encouraged data-informed decision-making among 2-year college stakeholders. A case study for each Center is presented to illustrate data-related strategies and lessons learned. The…

Addressing societal issues in civil and environmental engineering increasingly requires skills in data science and programming. To date, there is not much known about the extent students are learning these skills in current civil and environmental engineering curricula. We conducted a survey of accredited civil and environmental engineering…