This study conducted a systematic literature review of articles on learning analytics published between 2004 and January 2024. A total of 1,064 articles, identified using the keyword "learning analytic*" in the Scopus database, were analyzed. The study integrated systematic literature review and bibliometric analysis approaches to…

This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Statistical literacy involves engagement with the data one encounters. New forms of data and new ways to engage with data--notably via interactive data visualisations--are emerging. Some of the skills required to work effectively with these new visualisation tools are described. We argue that interactive data visualisations will have as profound…

In this article I respond to the tendency of the law to approach 'the public interest' as a legal test, thereby drawing the criticism that this narrow notion of what purports to be in the "public" interest is wholly disconnected from the views of actual publics, and lacks social legitimacy. On the other hand, to simply extrapolate…

When attempting to use data to inform practice and policy, the availability, accuracy and relevance of that data are paramount. This article maps the range of users interested in data relating to the UK widening participation (WP) agenda. It explores some challenges associated with identifying, defining, obtaining and using data to inform…

Chinese students studying abroad have been increasing rapidly in the past decades and become a significant financial contribution to receiving countries. Accordingly, understanding their enrollment choice is essential to facilitate college marketing and admission strategies. Though the decision process is believed to be different from domestic…

Research data services are increasingly offered by academic libraries. As a result, librarians may need to upskill to provide data services and build capacity. This study measures the current level of data services skills of academic librarians and explores preferred methods of continuing education. An online survey was circulated asking…

This case study evaluated the impact of science, technology, engineering, and mathematics initiatives in improving educational outcomes in the United Kingdom. Using secondary data in the form of official datasets approved by the national pupil database, Year 7 cohort was longitudinally followed from the beginning of Key Stage 3 till the end of Key…

Approaches to synthesizing qualitative data have, to date, largely focused on integrating the findings from published reports. However, developments in text mining software offer the potential for efficient analysis of large pooled primary qualitative datasets. This case study aimed to (a) provide a step-by-step guide to using one software…

There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…

This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each…

This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…

The growth of education systems and the construction of the state have always been connected. The processes of governing education systems always utilized data through a range of administrative records, pupil testing, efficiency surveys and international projects. By the late twentieth century, quantitative data had gained enormous influence in…

Research-led teaching is an area that has gained attention and prominence within higher education. This article reviews two teaching resources developed from archived research data and demonstrates how this type of data reuse helps teachers establish a clear connection between research and teaching. The two teaching resources, developed by the…