In order to study the manifestation of data sense and identify ways of thinking about variability in authentically realistic problems in a group of Chilean fifth-grade students, a lesson plan was designed and implemented, within the framework of statistical literacy and using the "lesson study" modality, in which students were urged to…

The papers in the special series describe the role of data-based decision-making (DBDM) in improving the outcomes of students with learning disabilities based on research across Germany, the Netherlands, and the United States. The articles address multiple aspects of a model of DBDM that includes the role of teacher knowledge, skills, beliefs, and…

Dramatic shifts brought about by globalization, technological innovation, and data-driven decision-making practices are immensely reflected in the landscape of 21st century higher education. Learning Analytics or LA is an emerging multidisciplinary, technological practice with the ultimate goal of producing effective learning to improve students'…

This paper explores the student achievement-related decision-making processes of eight school principals in Ontario, Canada. First, we describe Ontario's public education system with respect to neo-liberalism and student achievement. Next, we review general approaches to reducing the achievement gap as it pertains to matters of race. We then show…

Privacy workforce development is a growing need as organizations struggle to find qualified privacy professionals such as Data Protection Officers and privacy engineers. Little has been written about the availability of formal privacy education opportunities that could satisfy this demand. This study inventoried the current state of formal privacy…

The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of analysing 9,257 records extracted…

Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…

Although self-report questionnaires are widely used, researchers debate whether responses to these types of questionnaires are valid representations of the respondent's actual thoughts and beliefs. In order to provide more insight into the quality of questionnaire data, we aimed to gain an understanding of the processes that impact the completion…

Highly selective higher education institutions (HEIs) are simultaneously mandated to enable access for populations which have traditionally been excluded ('equality'), and to ensure that admitted students have the potential to succeed in higher education ('excellence'). This article uses original empirical case study data from 2018, from nine…

Research productivity plays an important role in the prestige and reputation among higher education institutions. However, the time spent to do research among Filipino academics is the most pressing issue since they can barely meet the requirement for research productivity. Further, the lack of time for data gathering aggravated the drawbacks for…

We report the findings of an empirical study that investigated whether the source of data--firsthand or secondhand data gained from lab work experiments--has an influence on students' learning outcomes. Results indicate that students' choice of a correct or incorrect hypothesis for a pendulum lab experiment on the influence of the mass of the bob…

Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…

Background: With digital technologies, competence assessments can provide process data, such as mouse clicks with corresponding timestamps, as additional information about the skills and strategies of test takers. However, in order to use variables generated from process data sensibly for educational purposes, their interpretation needs to be…

This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…

This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…