As California invests in early learning and care, the state is also moving forward with a long-overdue plan to build a statewide longitudinal data system (SLDS) -- known as the Cradle-to-Career (C2C) Data System -- which will eventually connect data over time and across sectors like education, health, human services, and the workforce. This is a…

Educational data mining is used to discover significant phenomena and resolve educational issues occurring in the context of teaching and learning. This study provides a systematic literature review of educational data mining in mathematics and science education. A total of 64 articles were reviewed in terms of the research topics and data mining…

Purpose: This study aims to examine the use of data visualization as a tool to support practitioner-led organizational learning within the emergency services. The authors investigate how data visualization can support visual communication and the analysis of emergency response data to promote system improvement. Design/methodology/approach: The…

Sensor systems have the potential to make abstract science phenomena concrete for K-12 students. Internet of Things (IoT) sensor systems provide a variety of benefits for modern classrooms, creating the opportunity for global data production, orienting learners to the opportunities and drawbacks of distributed sensor and control systems, and…

This article presents discussion and recommendations on approaches to retrospectively evaluating development interventions in the long term through a systems lens. It is based on experiences from the implementation of an 18-month study to investigate the impact of development interventions on economic and social change over a 40-year period in the…

Modern computing technology makes it possible for governments at all levels to use the data they already collect to improve service coordination and delivery, and to conduct research and evaluation to inform policymaking. California is well behind other states in taking advantage of this opportunity, in education and in other fields. The state has…

This thesis describes a notation for rapid specification of information visualization, which can be used as a theoretical framework of integrating various types of information visualization, and its applications at a conceptual level. The notation is devised to codify the major characteristics of data/visual structures in conventionally-used…

Studies have shown that issues of privacy, control of data, and trust are essential to implementation of learning analytics systems. If these issues are not addressed appropriately, systems will tend to collapse due to a legitimacy crisis, or they will not be implemented in the first place due to resistance from learners, their parents, or their…

This annotated bibliography is intended to provide resources that will inform decision making and give in-depth background information as SEAs undertake the task of IDEA data integration. Selected resources are listed more than once as they contain information that is relevant to more than one topic area. Topics include: (1) Data Governance; (2)…

The case provides a realistic scenario that can be used in a systems analysis and design, accounting information systems or graduate level management information systems course. The case details the steps in the revenue and expense cycle processes of a health supply wholesale company providing students with the opportunity to map the business…

The collection and analysis of weather data is crucial to the location of alternate energy systems like solar and wind. This article presents a design challenge that gives students a chance to design a weather station to collect data in advance of a large wind turbine installation. Data analysis is a crucial part of any science or engineering…

Large quantities of data are now being generated, collated and processed within schools through computerised systems and other digital technologies. In response to growing concerns over the efficiency and equity of how these data are used, the concept of "open data" has emerged as a potential means of using digital technology to…

Early education leaders--inside and outside of government--are looking for new ways to improve quality, accountability, and efficiency across many different programs serving young children and their families, and they see investment in data systems as a pivotal part of that effort. However, it can be challenging to develop and implement effective…

Education is essential for solving the complex water-related challenges facing society. The Learning Enhanced Watershed Assessment System (LEWAS) and the Online Watershed Learning System (OWLS) provide data creation and data sharing infrastructures, respectively, that combine to form an environmental learning tool. This system collects, integrates…

Faced with the need to create a competitive workforce and improve the quality of our education system, states are pursuing policy agendas to better prepare students for postsecondary education and careers. To inform these agendas, statewide longitudinal data systems (SLDSs) have become an invaluable asset and serve as a tool to help states answer…