Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…

Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their…

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…

The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…

Assessing campus needs for educational technologies and support is no small undertaking, so ensuring that one collects information that truly will help decision making requires careful planning. Data collection can be time-consuming and expensive. A well-organized educational technology needs assessment should add value to campus IT resources, not…

Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…

These days, "data-driven decision making" is on every school district's buzzword bingo game board. Accountability pressures and lean budgets make translating data into information a major focus of school systems that are trying to improve district outcomes in all areas. As such, data warehousing has become an essential district tool. Historically…

The complex nature and uncertain information in social problems required the emergence of fuzzy decision support systems in social areas. In this paper, we developed user-friendly Fuzzy Group Decision Support Systems (FGDSS) software. The software can be used for multi-purpose decision making processes. It helps the users determine the main and…

The Education Development Center's Center for Children and Technology (CCT) conducted a three year study of a large-scale data reporting system, developed by the Grow Network for New York City's Department of Education. This paper presents a framework based on two years of research exploring the intersection of decision-support technologies,…

This monograph presents a set of emerging theories, along with current practices and recommendations, that focus on the effective management of knowledge in educational settings. It provides a set of simple designs for linking people, processes, and technologies, and discusses how organizations can promote policies and practices that help people…

The 2004 National Education Technology Plan paints a hopeful picture of technology in American schools, highlighting examples of effective use and applauding the innovation that is occurring. The plan touts the benefits of the Internet and the opportunities it offers for improving education, such as enhanced access to interactive learning…