The National Forum on Education Statistics convened the Data Disaggregation of Racial/Ethnic Subgroups Working Group to identify best practices for disaggregating data on racial/ethnic subgroups. This guide is intended to identify some of the overarching benefits and challenges involved in data disaggregation; recommend appropriate practices for…

The study summarized in this research to practice brief, "Creating data-driven instructional systems in school: The new instructional leadership," Halverson, R., Grigg, J., Pritchett, R., & Thomas, C. (2015), "Journal of School Leadership," 25. 447-481, investigated whether student outcome improvements were linked to the…

This case study examines how Business-Higher Education Forum (BHEF) member Case Western Reserve University is integrating T-shaped skills into a minor in applied data science. Through the collaboration of its business and higher education members, BHEF launched the National Higher Education and Workforce Initiative to create new undergraduate…

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…

From 2011 to 2013, I accidentally studied US and Canadian teacher perceptions of standardized testing and its effects in the classroom. I had intended to study the role of equity issues in teacher practice; however, in conversation with teachers during initial semi-structured interviews in the United States, it became clear that understanding the…

Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…

Through a multi-year, national calculus study, researchers have recently identified seven characteristics of successful college calculus programs. We identified these seven characteristics by visiting five doctoral-granting mathematics departments with successful calculus programs and uncovering the common traits among them. These seven traits…

Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include…

This study explores common themes in recruitment and retention practices of Latinx undergraduate and graduate students that emerged across interviews of faculty in leadership positions at Institutes of Higher Education (IHE). In-depth interviews were conducted of six faculty holding leadership positions in their early childhood education programs…

Systems thinking (ST) is a holistic leadership approach that puts the study of wholes before that of parts. It focuses attention on how organization members act together in networks of interactions. This is done by researching organization members' mental models, which are deeply ingrained assumptions, generalizations, or even mental pictures or…

Schools are increasingly pivoting to the use of digital technologies to support both teaching and learning. In this study, the educational use of 360-degree video in the primary school classroom is investigated, focusing on a platform that was developed by an Australian university, which incorporates a chat function as well as an analytics tool.…

This paper details a systematic process that links industry and competency-based institutions' ability to create a more diverse talent pipeline while connecting learners to high-demand jobs. To remain competitive, competency-based institutions must closely align with industry and the government to keep their content up to date and relevant to…

The attempts to evaluate the published postgraduate theses aiming to research the Social Studies curriculum in Turkey between the years of 2015-2020. The study adopted general survey model. The study consisted of 866 open access theses which were conducted on the Social Studies curriculum between 2015-2020, and which were obtained from Council of…

The purpose of this research is to examine the research that has been done on MOOCs by applying data mining and analytic approaches and to depict the current state of MOOC research. The text mining revealed four broad themes: (I) MOOCs as a mainstreaming learning model in HE, (II) motivation and engagement issues in MOOCs, (III) assessment issues…

Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…