Background: Digital storytelling (DST) has been embraced in classrooms around the world as a way to unpack issues of identity and positionality which are critical for any pedagogy concerned with social justice. However, adopting this process-orientated practice into higher education raises ethical concerns especially in relation to the normative…

Advances in data science and computing power are rapidly shifting the opportunities available to citizens, changing how systems interact with almost every aspect of our lives: as students, job seekers, patients, citizens and consumers. This report presents the Annie E. Casey Foundation's point of view on the use of advanced analytics in social…

Transferring from a community college to a university is a time of uncertainty for students. Leaving a familiar environment to attend another school where everything and everyone is new creates stress. Navigating a college journey that requires cutting ties during COVID-19 is especially daunting, yet this is exactly what we expect transfer…

A capability maturity model provides a thorough understanding of where the organization is and, perhaps more importantly, where the organization needs to grow. The purpose of this report is to describe the development of the ADL Initiative Distributed Learning Capability Maturity Model (DL-CMM), illustrate its major components, and explain how it…

Through our national thematic reports HM Inspectors of Education share their professional view on particular aspects of education. This report focuses on sharing the key features which, when taken together, make the greatest difference to using assessment effectively to improve learning and teaching and in turn, outcomes for children and young…

This country note presents the results of an analysis of undertake Portugal undertaken within the Labour Market Relevance and Outcomes of Higher Education Partnership Initiative project. The project was implemented by the OECD with the support of the European Commission with the aim of helping policy makers and higher education institutions…

We propose new methods for identifying and classifying aberrant response patterns (ARPs) by means of functional data analysis. These methods take the person response function (PRF) of an individual and compare it with the pattern that would correspond to a generic individual of the same ability according to the item-person response surface. ARPs…

Background/Context: Amidst the complex and fast-paced demands in schools and classrooms, identifying what most deserves educators' attention can pose a challenge. Indicators help focus attention by highlighting key features that signal important outcomes or opportunities to take action or learn. Purpose: Informed by multiple literatures, we offer…

Background/Context: Over the past decade early warning systems which use predictive indicators to identify students in need of additional supports to stay on track to high school graduation have spread from a few schools to most states. There is now a growing interest in extending the utility of early warning systems from high school graduation to…

The use of data to govern education is increasingly supported by the use of knowledge-based technologies, including algorithms, artificial intelligence (AI), and tracking technologies [Fenwick, T., E. Mangez, and J. Ozga. 2014. "Governing Knowledge: Comparison, Knowledge-Based Technologies and Expertise in the Regulation of Education."…

Student success is becoming a shared vision for quality in higher education. Majority data in higher education have not been transformed into actionable insights for quality enhancement. Data are dispersed among stakeholders, and stakeholders' data literacy influences the effectiveness of using data for student success. However, existing studies…

Law Enforcement Agencies gather intelligence in order to prevent criminal activity and "pursue" criminals. In the context of human intelligence collection, intelligence elicitation relies heavily upon the deployment of "appropriate" evidence-based interviewing techniques (a topic rarely covered in the extant research…

Unit nonresponse in panel data sets is often a source of bias. Why certain individuals attrite from longitudinal studies and how to minimize this phenomenon have been examined by researchers. However, this research has typically focused on data sets collected via telephone, postal mail, or face-to-face interviews. Moreover, this research usually…

The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…

The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…