The term Latinx has received increasing levels of pushback from different entities outside and within higher education. Despite the term's wide popularity in academic spaces, higher education practitioners often utilize it without understanding whom it simultaneously includes and excludes, and whom the term refers to. Such practice perpetuates the…

This article provides a conceptual framework for considering both the theoretical and methodological factors that underpin the successful validation of a competency framework. Drawing on educational assessment literature, this article argues that a valid competency framework relates to an interpretive judgement of the credibility of the claims…

There is no single agreed-upon definition of data literacy because expectations of what it means to be data literate varies across contexts. The lack of agreement on a definition of data literacy across contexts is therefore necessary. However, definitions are important. Definitions embody our understanding of concepts and are the foundation for…

Purpose: The purpose of this paper is to analyse data literacy in the new Digital Competence Framework for Citizens (DigComp 2.2). Mid-2022 the Joint Research Centre of the European Commission published a new version of the DigComp (EC, 2022). This new version focusses more on the datafication of society and emerging technologies, such as…

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…

As wider social and societal changes have led to moves towards equality as a response to a better understanding of inequalities, ethical considerations in research are now more consciously focussed on power dynamics. As a consequence, participatory research methods have gained traction. Simultaneously, artistic and creative methods are used within…

Case study has been one of the most often used qualitative research methodologies in the field of education at all levels -- from preschool to adult. Yet the number of available resources for case study researchers--be they emerging or experienced--is still limited. This paper will review the definition of the case study method as well as some of…

For a few decades, map skills stay at the forefront of not only geographers' and geographic educators' research interest. To identify what has already been accomplished, where the research currently stands and where the potential for future studies lies, a review of the literature was carried out. Specifically, this comprehensive synthesis of map…

This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…

Purpose: This article presents a definition and rationale for evidence-based reform in education, and a discussion of the current state of evidence-based research, focusing on China, the U.S., and the UK. Design/Approach/Methods: The article contrasts the state of educational research in the U.S., the UK, and China, world leaders in evidence-based…

The idea of learning analytics has become popularized within higher education, yet many educators are uncertain about what is entailed when implementing these technologies into practice. The following article serves as an overview to the field of learning analytics for faculty, educators for whom the expectations to use these technologies…

Background: Deep versus surface knowledge is widely discussed by educational practitioners. A corresponding construct, levels of processing, has received extensive theoretical and empirical attention in learning science and psychology. In both arenas, lower levels of information and shallower levels of processing are predicted and generally…

Background: Domestic violence abuse (DVA) has been identified by the UK Government as a priority to address. Whilst there is a growing body of research into perpetrators of DVA from the mainstream population, there is scant research into perpetrators of DVA who have an intellectual disability. This lack of an evidence base suggests there may be a…

Evidence-based decision-making requires access to good and reliable data. In recent years, there has been a tremendous increase of data available to institutions, from internal as well as external sources. With this increase in data and its analytics, new challenges and questions arise. One of the most pertinent of which is the ethics and best…

Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…