Large quantities of data are now generated, collated and processed within schools through computerized systems and other digital technologies. In response to growing concerns over the efficiency and equity of how data is used, the concept of 'open data' has emerged as a potential means of democratizing data access and use across school…

The challenges of Big Data (BD) and Big Data Analytics (BDA) have attracted disproportionately less attention than the overwhelmingly espoused benefits and game-changing promises. While many studies have examined BD challenges across multiple industry verticals, very few have focused on the challenges of implementing BDA solutions. Fewer of these…

Data science is a broad, interdisciplinary field concerned with the extraction of knowledge or insights from data, with the classification of data as a core, fundamental task. One of the most persistent challenges faced when performing classification is the class imbalance problem. Class imbalance refers to when the frequency with which each class…

This short brief for education decision makers discusses three main factors that may contribute to a finding of no effects: failure of theory, failure of implementation, and failure of research design. It provides readers with questions to ask themselves to better understand "no effects" findings, and describes other contextual factors…

This research connects several data-driven educational data mining approaches to a framework for interaction developed in educational research. In particular, 10 million usage data points collected by a Learning Management System used by students and teachers in 450 online undergraduate courses were analyzed with this framework. A range of…

All research accounts are partial. Who we are--our biographies, experiences, ideological stances, and so on--affects the entirety of the research process. Who we are shapes what types of research questions we find interesting, how we frame our research objectives, how we collect data, how we analyze these data, and how we present our findings. In…

This work is a contribution to the usefulness of climate-related authentic material for pedagogical purposes in Higher Education. The two case studies had the aim of raising environmental awareness of a sustainable future among university students, while encouraging them to explore language use and draw their own conclusions and considerations…

One tool that many families own, across the globe, is a basic mobile phone. The use of low-cost basic mobile phones for educational purposes in humanitarian settings is critical where access to connectivity and higher cost devices is limited. The portability of mobile phones, combined with their communication features, offers multiple uses to…

Quantitative literacy is an essential twenty-first century skill that universities are heavily invested in teaching to students. The social sciences play an important role in these efforts because they attract students who might otherwise avoid data and mathematically oriented courses and because they ground quantitative reasoning in political and…

This paper considers the use of identity boxes as a data collection method to elicit experiences. Participants were asked to respond to questions using objects to represent their answers. The rationale for using identity boxes was to allow for a more embodied, less textual approach. The identity boxes were then also used to create an artistic…

The popularity of social media among students and practitioners has encouraged marketing educators to find ways to incorporate social media into their classrooms. We offer results from an intercollegiate collaboration that provides an innovative learning environment through a social media education ecosystem. Participating students discuss current…

The technological capacity that now exists to gather and store large amounts of data has improved access to information regarding young people in schools. Improvements in data management techniques and statistical data software packages have made retrieving and analysing systems data a more accessible and manageable process. On a smaller scale,…

Several studies have focused on identifying the significant behavioral predictors of learning performances in web-based courses by examining the log data variables of learning management systems, including time spent on lectures, the number of assignments submitted, and so forth. However, such studies fail to quantify the impact of emotional,…

Research into self-regulated learning has traditionally relied upon self-reported data. While there is a rich body of literature that has extracted invaluable information from such sources, it suffers from a number of shortcomings. For instance, it has been shown that surveys often provide insight into students' perceptions about learning rather…

Intended to guide scholars who are new to qualitative research, this methods brief focuses mostly on what reviewers look for in manuscripts submitted for publication. The author acknowledges that reviewers' preferences likely reflect their theoretical perspectives, research-oriented coursework, mentors, and research and writing experiences. The…