The Early Literacy Program focuses on the development of early literacy skills, with additional emphasis placed on intervention for students at risk of not meeting grade-based reading benchmarks. Resources available to aid these students include interventions and supports for students in grades kindergarten through third grade, standards and…

Scientific advances in genetic analysis have been made possible in recent years by technical developments in computational biology, or bioinformatics. Bioinformatics has opened up the human genome to diverse analyses involving automated laboratory hardware and machine learning algorithms and software. As part of an emerging field of social…

Knowing relevant information about students entering the higher education (HE) system is becoming increasingly important, thus enabling higher education institutions (HEIs) to design effective studentcentred support programmes. Therefore, HEIs should ascertain all relevant information about their students before the commencement of the academic…

This is a systematic review conducted of primary research literature published between 2007 and 2018 on the deployment and effectiveness of data analytics in higher education to improve student outcomes. We took a methodological approach to searching databases; appraising and synthesising results against predefined criteria. We reviewed research…

This study presents several Latin American research initiatives in the field of learning analytics (LA). The study's purpose is to enhance awareness and understanding of LA among researchers, practitioners and decision makers, and to highlight the importance of supporting research on LA. We analyzed case studies of LA research conducted at four…

In youth-focused community and citizen (YCCS) youth in classrooms and community-based programs produce data that scientists, resource managers and community members will use. This "nested" data situates learners' scientific activity within larger datasets, projects, and communities, with consequences for youth agency. To document…

Despite their increasingly widespread adoption in post-secondary education, scholars and practitioners know very little about the impact of digital data displays on instructors' sense-making and academic planning. In this manuscript, I report the results of comparative case studies of five different introductory physics instructors at three…

Educational data offer a powerful tool for supporting equity. In this article, the authors call for a shift toward greater use of data in educator preparation programs. The authors motivate their proposal by highlighting findings from the Department of Education report released January 2018, which found that the Texas Education Agency…

Learning collaboratives (LCs) have often been used to improve somatic health care quality in hospitals and other medical settings, and to some extent to improve social services and behavioral health care. This initiative is the first demonstration of a national, systematic LC to advance comprehensive school mental health system quality among…

The world is rapidly changing, and the systemic shifts have the potential to affect the nature of work. To prepare the workforce, it is crucial to develop the skills that will be necessary for the unpredictable landscape of the future. Before these skills can be developed, however, they have to be identified and quantified through some form of…

Open large-scale datasets (LSDS) and data visualization technologies are new cultural tools that have potential to inform public dialogue and learning about important socioeconomic and scientific matters, particularly if the data is used to consider both personal and shared experiences. This paper reports on a design study in which diverse middle…

In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…

Student data, whether in the form of engagement data, assignments or examinations, form the foundation for assessment and evaluation in higher education. As higher education institutions progressively move to blended and online environments, we have access to, not only more data than before, but also a greater variety of demographic and…

We explore institutional change and organizational learning in higher education in the context of a large-scale reform of developmental education in Florida. We use statewide survey data to examine administrators' perceptions of the use and effectiveness of accountability metrics, methods to identify solutions to improve student outcomes, and…

The North Central Region Aging Network (NCRAN) formed out of a need to strengthen the potential for meeting curricular and educational demands related to the topic of aging. By pooling resources, establishing interactive and consistent methods of idea sharing, working collectively to assess community needs, and launching professional development…