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Caspari-Sadeghi, Sima – Cogent Education, 2023
Data-driven decision-making and data-intensive research are becoming prevalent in many sectors of modern society, i.e. healthcare, politics, business, and entertainment. During the COVID-19 pandemic, huge amounts of educational data and new types of evidence were generated through various online platforms, digital tools, and communication…
Descriptors: Learning Analytics, Data Analysis, Higher Education, Feedback (Response)
Treatment Integrity of Primary (Tier 1) Prevention Efforts in Tiered Systems: Mapping the Literature
Buckman, Mark Mathew; Lane, Kathleen Lynne; Common, Eric Alan; Royer, David James; Oakes, Wendy Peia; Allen, Grant Edmund; Lane, Katie Scarlett; Brunsting, Nelson C. – Education and Treatment of Children, 2021
Treatment integrity is an important component of rigorous educational research. Information about the extent to which an intervention was implemented as planned provides necessary context for interpreting student outcomes. In the context of increasing use of tiered systems in schools, treatment integrity takes on additional practical importance.…
Descriptors: Intervention, Student Needs, Program Effectiveness, Prevention
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
Williamson, Ben – Journal of Education Policy, 2021
Psychology and economics are powerful sources of expert knowledge in contemporary governance. Social and emotional learning (SEL) is becoming a priority in education policy in many parts of the world. Based on the enumeration of students' 'noncognitive' skills, SEL consists of a 'psycho-economic' combination of psychometrics with economic…
Descriptors: Social Emotional Learning, Data Collection, Data Use, Educational Policy

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