This teaching tip describes using Microsoft Power BI Desktop in a class to analyze unstructured data from an exit survey of prior students from a Master of Science in Management Information Systems program. Results from a short survey administered to these students showed that the students, using the no-code Power BI, were able to accomplish their…

Despite enacting well-intentioned policies to improve teacher recruitment and retention, many states continue to face significant staffing challenges, particularly in high-need schools and hard-to-staff subjects such as math, science, and special education. Two years ago, the National Council on Teacher Quality (NCTQ) set out to explore the…

This brief, the second in the series, advances a theory of change that centers the learner experience in strategies to improve institutional data collection and use and strengthen college information management systems. It is the second in the Advance CTE's Advancing Postsecondary CTE Data Quality Initiative (PDI) series highlighting five states…

California's information about opportunities and outcomes in early learning and care, TK-12 schools, colleges, social services, and employment is currently disconnected. A longitudinal data system can be a powerful tool that allows California to identify bright spots, inequities, and roadblocks in our educational system, especially for students of…

In 2019, California passed legislation that called for the creation of its longitudinal data system, the Cradle-to-Career (C2C) Data System. Since then, the state has allocated $40.52 million in funding to support the agency's efforts. Given the substantial state investment and the potential for more, better, and accessible data to answer critical…

Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…

Every U.S. state and the District of Columbia maintain a system to collect and store education data. These systems vary widely in their scope and sophistication -- and, by extension, in their ability to provide information that can guide decision-making. Most states have developed statewide longitudinal data systems, which establish formal…

Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…

Higher education monitoring evaluation is a process that uses modern information technology to continually collect and deeply analyze relevant data, visually present the state of higher education, and provide an objective basis for value judgments and scientific decision making by diverse bodies Higher education monitoring evaluation is…

Teachers need longitudinal student-level data, such as attendance history, course-taking patterns, grades, and test scores, to tailor instruction to individual students' strengths and weaknesses. This factsheet uses the findings from the "Data for Action 2013" analysis to discuss how states can provide teachers with student-level…

To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…

To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…

Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…

This article reflects on the 'quantified self at work' (Moore and Robinson in New Media Soc 18(11):2774-2792, 2016), neoliberal government (Miller and Rose in Econ Soc 19(1):1-31, 1990; Rose and Miller in Br J Sociol 43(2):173-205, 1992; Ball in J Educ Policy 18(2):215-228, 2003), and the use of bibliometric technologies that record research…

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…