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Choi, Jungtae; Kim, Kihyun – Prevention Science, 2022
The purpose of this study was to explore and identify patterns of risk predictors of maltreatment recurrence using predictive risk modeling (PRM). This study used the administrative dataset from the National Child Maltreatment Information System recorded by Korean CPS (Child Protective Service) workers. The information, including recurrent…
Descriptors: Foreign Countries, Child Abuse, Social Services, Children
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Bonnie Stewart; Erica Miklas; Samantha Sczyrek; Thu Le – OTESSA Conference Proceedings, 2023
Datafied digital systems have permeated higher education over the past decade. Registration, grading, financial operations, and often teaching all take place through digital platforms that extract and collate data about students as well as faculty and staff. At the level of these data system processes, academics may not have the knowledge or…
Descriptors: Foreign Countries, Higher Education, Data Use, Technology Integration
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Hakimi, Laura; Eynon, Rebecca; Murphy, Victoria A. – Review of Educational Research, 2021
This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…
Descriptors: Ethics, Data Use, Data Collection, Learning Analytics
Universities UK, 2019
Longitudinal Education Outcomes (LEO) data provides information on how much UK graduates of different courses at different universities are earning, either one, three or five years since graduating. This briefing gives an overview of what LEO data is and how it can be useful to students, policy makers and higher education institutions. It also…
Descriptors: Foreign Countries, Educational Research, Longitudinal Studies, Data Use