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Robin Clausen – Discover Education, 2025
Early Warning Systems (EWS) are research-based analytics that use statistical models to assess dropout risk. School leaders use this analytic to consolidate data about a student and provide actionable data to craft an intervention. Little is currently known about the processes involved in school implementation or data use. By analyzing Montana EWS…
Descriptors: Dropout Prevention, Data Analysis, Principals, School Counselors
Pangrazio, Luci; Stornaiuolo, Amy; Nichols, T. Philip; Garcia, Antero; Philip, Thomas M. – Harvard Educational Review, 2022
In this contribution to the Platform Studies in Education symposium, Luci Pangrazio, Amy Stornaiuolo, T. Philip Nichols, Antero Garcia, and Thomas M. Philip explore how digital platforms can be used to build knowledge and understanding of datafication processes among teachers and students. The essay responds to the turn toward data-driven teaching…
Descriptors: Teaching Methods, Learning Analytics, Vignettes, Learning Processes
Dita Nugroho; Thomas Dreesen – UNICEF Innocenti - Global Office of Research and Foresight, 2024
Research and evidence on education from 33 countries in Africa reflects rich diversity andunderscores the importance of tailoring solutions to the local context. Through this research, three key actions on education emerge as points of leverage for the continent: (1) Use local education data to make informed decisions that address country-specific…
Descriptors: Foreign Countries, Data Use, Educational Policy, Equal Education
Ian Thacker; Hannah French; Shon Feder – International Journal of Science Education, 2025
Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…
Descriptors: Climate, Computation, College Students, Hispanic American Students
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Grantee Submission, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making

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