Conducting qualitative research on young people with intellectual disability and the Internet poses methodological challenges as well as opportunities. Based on memos from a qualitative study, this article focuses on identified gaps related to the challenges of informed consent, access to Internet arenas and using stimulus materials.…

Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…

This article proposes the living journals method for remotely studying participants, elevating participant agency in the data generation process and minimising or completely removing the need for a researcher to be physically present in the field. Employing this method, the paper describes how the method was used to explore 5-year-old children's…

This brief describes how several commonly used per-pupil funding measures derived from federal data include passthrough funding in the numerator but exclude students attached to this funding from the denominator, artificially inflating per-pupil ratios. Three forms of passthrough funding for students not educated by the school district where they…

The purpose of this study was to examine patterns and factors influencing exclusion rates and achievement on large-scale assessments in Canada. Data analysis employed a case study to examine policies and practices of exclusion, absenteeism, and social promotion related to large-scale assessments at the international, national, and provincial…

This conceptual study uses dynamic systems theory (DST) and phenomenology as lenses to examine data privacy implications surrounding wearable devices that incorporate stakeholder, contextual and technical factors. Wearable devices can impact people's behaviour and sense of self, and DST and phenomenology provide complementary approaches for…

The evidence deployed in the policy process is often done so from sources hoping to shape policy along preconceived ideological lines. This chapter presents the data and research cited as evidence in tuition-free community legislation proposed and enacted by 10 states, along with the sources that produced this evidence when applicable. Results…

International students are a key demographic in UK higher education, yet there is limited literature dedicated to pedagogies for and with international students. We undertook a systematic literature review of journal articles from 2013 to 2019 which presented empirical evidence on specific pedagogic practices relating to international students in…

Decision-making is a critical topic in any management and organizational behavior course. Navigating and understanding the various processes and influences on decision-making, however, can be complicated. This article revises and expands on a common "employee ranking" format activity. It uses in-class student data to systematically…

The Scholarship of Teaching and Learning (SoTL) faces an emerging challenge as it seeks to balance commitments to disciplinary inclusivity and scholarly quality. We undertake a scoping review of 64 articles across three leading SoTL journals to investigate how the literature balances these twin commitments by exploring what questions are being…

This paper addresses families' perceptions of corporate influence in career and technical education (CTE) through market-driven policies that enable data extraction for student profiling and seek to align K-12 education with business-driven needs. Aligning education with business needs can offer early employment, however, accelerating…

Being able to communicate effectively is an essential skill for statisticians and data scientists. Despite this, communication skills are not frequently taught or emphasized in statistics and data science courses. In this article, we describe a series of four workshops that were developed to enhance the written communication skills of statistics…

This article makes a case for introducing moving averages into introductory statistics courses and contemporary modeling/data-based courses in college algebra and precalculus. The authors examine a variety of aspects of moving averages and draw parallels between them and similar topics in calculus, differential equations, and linear algebra. The…

According to a national poll of high school students that the Data Quality Campaign (DQC) and the Kentucky Student Voice Team developed in 2022, students are not getting the information they need. State, district, and local education leaders must take actions to help students, their communities, and schools by sharing information about context,…

This study aims to validate a data collection tool's psychometric properties to explore whether business management research's relevance is a high-order construct made up of its perceived interest and perceived relevance. The authors conducted a confirmatory factor analysis to validate a two-factor scale. The sample was composed of 148 MBA…