Educational outcomes from traditionally underrepresented groups are generally worse than for their more advantaged peers. This problem is typically known as the awarding gap (we use the term awarding gap over 'attainment gap' as attainment places the responsibility on students to attain at equal levels) and continues to pose a challenge for…

When higher education institutions (HEIs) have the potential to collect large amounts of learner data, it is important to consider the spectrum of stakeholders involved with and impacted by the use of learning analytics. This qualitative research study aims to understand the degree of concern with issues of bias and equity in the uses of learner…

This study explores the potential benefits of integrating Industry 4.0 technologies into educational settings, focusing on Artificial Intelligence/Machine Learning, Augmented Reality, Big Data, Blockchain, Cloud Computing, Internet of Things, Metaverse, Robotics, and Virtual Reality. The aim is to develop learning environments that are more…

While learning analytics (LA) has been highlighted as a field aiming to address systemic equity and quality issues within educational systems between and within regions, to date, its adoption is predominantly in the Global North. Since the Society for Learning Analytics Research (SoLAR) aspires to be international in reach and relevance, and to…

Purpose: This research study aims to evaluate the capacity and sustainability of an accessible society as a smart society and services with the help of MOOCs and assistive technologies within the learning analytics framework. Design/methodology/approach: Qualitative research was employed in this research that interview forms were conducted to get…

In the context of Ugandan higher education, this study investigates the revolutionary effects of technology developments in educational leadership on student experiences and outcomes. A purposive sampling strategy was used to select 161 participants from 12 universities in Uganda, focusing on those with significant influence and expertise in…

Violations of normality and homogeneity are common in educational data. When this occurs, the use of parametric statistics may be inappropriate. A generalized form of nonparametric analyses based on the Puri and Sen L statistic provides an alternative approach. Using a chi-square distribution, this technique is easy to apply and has significant…

A rapid, exploratory review to establish a shared understanding of what constitutes good quality EdTech and implementation. The review: (1) examined existing frameworks and standards; and (2) identified the characteristics, quality components, essential conditions and evaluation criteria for the design and implementation of EdTech. The report…

The Ithaka S+R Library Survey 2019 examines strategy and leadership issues from the perspective of academic library deans and directors. This project aims to provide academic librarians and higher education leaders with information about chief librarians' visions and the opportunities and challenges they face in leading their organizations. In…

Data about learning can support teachers in their decision-making processes as they design tasks aimed at improving student educational outcomes. However, to achieve systemic impact, a deeper understanding of teachers' perspectives on, and expectations for, data as evidence is required. It is critical to understand how teachers' actions align with…

In the denouement of the COVID-19 pandemic, talk of a return to "normalcy" in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to…