Organizations are keenly interested in employees trained in business analysis and robotic process automation. This is because those methods are growing in demand for improving efficiency in business processes. Business students exiting college must understand how to map out business processes and implement automation fundamentals to be competitive…

Students who have graduated from high schools across the EU member states can choose from a wide variety of study programs and universities at which to pursue their degree studies. Each combination of a university and study program is unique, which further complicates student choice. Lack of information transparency regarding the unique…

The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…

Enterprise resource planning systems (ERP) are the most essential and critical information systems that are widely used to build all the functions of a business into a unified and efficient enterprise system. Although the essence of ERP systems are easy to understand, students, especially those who do not have technical experience, have difficulty…

The "Comprehensive Allocation Process" (CAP) is a reproducible decision-making structure for the allocation of new collections funds, for the reallocation of funds within stagnant budgets, and for budget cuts in the face of reduced funding levels. This system was designed to overcome common shortcomings of current methods. Its philosophical…

In the school setting, teams are abundant, often serving multiple purposes, having various titles, and consisting of diverse members. Teams are considered an essential component of Response to Intervention (RtI) and are the vehicle through which data-based decision making occurs at the school, grade, small-group, and individual student level.…

As the economy increasingly demands a more educated workforce, states are looking to their colleges and universities to meet that demand for a better educated citizenry. Not only are individuals with postsecondary education likely to be employed, they are also likely to be more engaged in their communities through activities such as voting and…

This article discusses five generally accepted reasons to use data as a part of an educator's ongoing professional practice. Of course, there are many other more specific reasons one might look at data, but these five cover the overarching need in an educational setting. The five major purposes for using data are: (1) To enhance understanding and…

The implementation of the Common Core State Standards (CCSS) over the coming years will provide an opportunity for K-12 and postsecondary educators to share and use data effectively to support alignment between the sectors and reduce the need for remedial education. This brief describes how these groups can work together to make the most of data…

Given what system leaders must accomplish with limited resources, they must make bold decisions about their current investments to achieve high-priority goals related to implementing college- and career-ready standards. This workbook is designed to guide users through a five-step process of understanding what professional learning is available in…

More stakeholders are turning to technology to advance the professional learning required to support new standards and evaluation systems. Yet how technology is used will determine its potential to influence educator practice and results for students. This brief outlines how technology can enhance professional learning, offers examples of how…

Part one of this article described the first two stages that schools move through as they learn to link data to higher student achievement. In stage one, schools make initial efforts to contextualize the many data sources available, but their data analysis is mostly for its own sake. In stage two--using data to improve educational efficiency--the…

School systems face many decisions in developing and maintaining learning environments that create success for all students. From district operations to the classroom, district leaders implement solutions and take action based on the information they have at hand. While there is no shortage of data, turning that data into useful information is as…

Data-based decision making is a process of inquiry, analysis, and decision making that draws inferences from the interplay of school input/process and output variables. A case study involving a Connecticut district's response to falling SATs illustrates the need for fast, sophisticated information technology systems. (MLH)

Data in social and behavioral sciences typically possess heavy tails. Structural equation modeling is commonly used in analyzing interrelations among variables of such data. Classical methods for structural equation modeling fit a proposed model to the sample covariance matrix, which can lead to very inefficient parameter estimates. By fitting a…