Best practices in statistics and data science courses include the use of real and relevant data as well as teaching the entire data science cycle starting with importing data. A rich source of real and current data is the web, where data are often presented and stored in a structure that needs some wrangling and transforming before they can be…

Psycholinguistics is the research of language in the mind: The architecture of storing the different components of language in our memory, and the ways we access that knowledge when processing and producing language. Psycholinguists usually conduct quantitative experimental research in which certain standards of experimental design, data…

As institutions seek to shift into more advanced analytics and data-based decision-support, many institutional research offices face the challenge of meeting the office's current demands while taking on more intricate and specialized work to support decision-making. Given the great need organizations have for information that supports real-time…

An efficient assessment cycle is a necessary component of early literacy instruction. To support student growth, educators must screen, diagnose, and monitor student progress. Diagnostic assessments provide critical information that can empower educators to address student needs. Using information from diagnostic assessments requires educators to…

The concept of statistical sense provides an understanding of the goals of statistics education and helps to clarify the design of activities that promote the development of statistical literacy, reasoning and thinking. The new approaches to statistics in schools mean special attention must be paid to teacher training. This training should enable…

Amid calls for evaluations to advance equity, there are ongoing debates, varied guidance, and limited empirical research on how evaluators practically attend to equity in their work. This article identifies ethical questions--about the right thing to do when there are multiple options--that arise when evaluators attend to equity and factors that…

Although international organisations (IOs) are recognised as important actors in education, their involvement in vocational education and training (VET) remains underexamined. This article reviews the current state of research on IOs in VET, focusing on the ILO, OECD, UNESCO, and the World Bank, through an integrative literature review of 174…

This study explores the association between having a transit stop within walking distance of campus and Pell Grant recipient completion rates at US commuter institutions, using a novel dataset on transit stop locations and institutional level data. The findings indicate that there is a positive association between transit access and Pell…

Generating personalized learning pathways for e-learners is a critical issue in the field of e-learning as it plays a pivotal role in guiding learners towards the successful achievement of their learning objectives. The existing literature has proposed various methods from different perspectives to address this issue, including learner-based,…

This study explores the use of generative AI, specifically ChatGPT, in statistical data analysis and its implications for statistics education at universities of applied sciences. This paper begins with first discussing the future division of labor between humans and machines in the context of statistical data analyses following the widespread…

The challenge: This paper examines the state of knowledge and evaluation in prison higher education. Little is known about its efforts, outcomes, and impact or about the students enrolled in such efforts. Potential consequences: Incarcerated college students are a disenfranchised population with restricted autonomy. Without understanding prison…

Data ethics have emerged as an essential topic in education. Educators must know how to use data effectively and responsibly. This is a complex and systemic issue that involves bringing awareness to all stakeholders, building human capacity, modifying policy, and considering equitable solutions to data use. This article posits an initial framework…

This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys -- APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys' documentation and compared their definitions,…

Scholars have noted a dearth of experiential learning components in STEM. This study seeks to address that issue by assessing learning outcomes for students who participated in a class with an experiential learning element and those who did not. For the experiential learning component, students, in collaboration with a community organization,…

Given the increased diversity of the population in the United States and the importance of early science, technology, engineering, and mathematics (STEM) learning, it is crucial to identify ways to reduce racial, ethnic, and gender disparities in STEM education. This is particularly important for children with disabilities with intersecting…