From a new institutional theoretical perspective, this article explores school actors sense-making linked to data-based decision making (DBDM) policy in general and processes of data analysis in particular. The study revealed how actors interpretation of and response to DBDM pointed to strong and ...
A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous School Improvement shares new, evidence-based learnings about how to analyze, report, communicate, and use multiple measures of data. The updated edition...
With clear and concrete examples from elementary and high schools, this book helps you effectively gather, analyze, and use data to improve student learning. It
Pachamanova considers this type of parallel exercise the best way to help students understand what tools to use for each task. “There are some data analysis tasks that do not require specialized software. But it’s important to create a contrast between the status quo and what specialized pack...
This is followed by detailed discussions of key issues raised during the training sessions on the use of performance data and analysis of the views of headteachers, teachers and governors about the performance data feedback to schools. The main findings from this research suggest that schools use...
computers Article Data Analysis Model for the Evaluation of the Factors That Influence the Teaching of University Students William Villegas-Ch. 1,* , Aracely Mera-Navarrete 2 and Joselin García-Ortiz 1 1 Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas...
Figure 1.Our proposal for a cross-silo federated learning scheme for centralized data analysis of the educational system. To evaluate the proposed education federated scheme, we analyzed a well-known learning analytics problem: student dropout prediction through a neural network model. We assume a sc...
Data scientists usedata scienceto glean insights from untold amounts of data, both structured and unstructured. As automation andmachine learningbecome increasingly important components in the IT strategies of large organizations, data analysis grows in stature. The reason? The enormous value practitioners...
thesisdefended in 2005 and 2008 at the College of Education, in State University of Campinas.Our aim was to explore the methodological application process of Data EnvelopmentAnalysis (DEA) in the performance evaluation of primary and lower secondary educationin public schools. One of the ...
Deeper analysis to find ‘things that matter’ Konsdorf’s team also has dramatically reduced the number of reports it creates and maintains. Previously, the team would generate one-off reports as they were requested. “If we got a request for enrollment report from three different departments,...