Data literacy is the ability to collect, manage, evaluate, and apply data, in a critical manner. It is a relatively new field of study, dating only from the 2010s. It includes the skills necessary to discover and access data, manipulate data, evaluate data quality, conduct analysis using data, interpret results of analyses, and understand the…

These Guidelines and accompanying Toolkit aim to generate a diagnosis of the education in emergencies data ecosystem at a given point in time, mainly by evaluating the opportunities for integrating humanitarian EiE data systems with development and national institutional education information systems. They include approaches and tools for the…

This paper considers the adoption of computational techniques within research designs modeled after the extended case method. Echoing calls to augment the power of contemporary researchers through the adoption of computational text analysis methods, we offer a framework for thinking about how such techniques can be integrated into…

In the era of big data, many business organizations consider data analytics skills as important criteria in the acquisition of qualified applicants. As numerous managerial decisions in the field of marketing are becoming evidence-based, business schools have integrated case studies about different stages of data analytics such as problem…

We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…

Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three…

Like in many Global South countries, the vocational education and training system in Kazakhstan has some weaknesses, including low-competent educators poorly applying digital technologies in their instructional repertoire, which highlights the need for motivating teachers towards incorporating technologies representing students' everyday life in…

Plagiarism has been on the rise amongst university students in recent decades. This study puts university teachers in the spotlight and investigates their role in raising students' awareness about plagiarism. To that end, plagiarism policies in 207 Iranian university TEFL teachers' syllabuses were analyzed. The researchers analyzed the syllabuses…

Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…

This article offers 10 guidelines for conducting international group work research. These guidelines include the importance of establishing relationships, conducting a needs assessment, co-constructing the research questions/design, determining the approach, choosing culturally relevant instruments, choosing culturally responsive group…

This paper discusses reasons why manuscripts are not accepted for publication in "Ethiopian Journal of Education" ("EJE"). It intends to promote publication by domestic and/or international authors in "EJE" by analyzing the reasons for rejection of manuscripts. To gather the relevant data, a total of 101 rejected…

To find a balance between learning analytics research and individual privacy, learning analytics initiatives need to appropriately address ethical, privacy, and data protection issues. A range of general guidelines, model codes, and principles for handling ethical issues and for appropriate data and privacy protection are available, which may…

This paper examines the development of data infrastructure in Australian schooling with a specific focus on interoperability standards that help to make new markets for education data. The conceptual framework combines insights from studies of infrastructure, economic markets and digital data. The case of the Australian National Schools…

As a further step towards maturity, the field of learning analytics (LA) is working on the definition of frameworks that structure the legal and ethical issues that scholars and practitioners must take into account when planning and applying LA solutions to their learning contexts. However, current efforts in this direction tend to be focused on…

Purpose: The central argument in this paper is that ethical school leadership is imperative in a context of increasing performance-driven accountability. The purpose of this paper is to focus on school principals' perceptions of how they understand ethical leadership and how they lead the ethical use of data. Design/Methodology/Approach: This…