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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
National Forum on Education Statistics, 2009
This Forum guide offers best practice suggestions on collecting and using student attendance data to improve performance. It includes a standard set of codes to make attendance data comparable across districts and states. There are real-life examples of how attendance information has been used by school districts. Chapter 1 discusses the…
Descriptors: Attendance, Data Collection, School Statistics, Information Utilization
Bernhardt, Victoria L. – 1998
Data can help identify solutions to some of the biggest problems in schools. Yet few schools use data effectively. The purpose of this book is to help schools become aware of the advantages of collecting and using data (data analysis) for overall school improvement. The book begins with an overview of the current state of education and the…
Descriptors: Automation, Data Analysis, Data Collection, Data Interpretation
Morell, Jonathan A.; And Others – 1987
A framework for assessing the implementation and impact of office automation (OA) technology within shore-based facilities of the U.S. Navy is provided. Following a list of the assumptions guiding the evaluation plan, a model for data collection is presented which is based on the perspective of a work group, i.e., a small number of individuals who…
Descriptors: Change Strategies, Computer Networks, Data Collection, Evaluation Methods