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Nica Basuel; Rohan Carter-Rau; Molly Curtiss Wyss; Maya Elliott; Brad Olsen; Tracy Olson; Mónica Rodríguez – Center for Universal Education at The Brookings Institution, 2024
To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…
Descriptors: Scaling, Research, Educational Innovation, Educational Change
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Edanur Yazici; Ying Wang – International Journal of Social Research Methodology, 2024
Constant changes to COVID-19 restrictions have required adaptability from social scientists including responding to new challenges such as infiltration by bots. This research note presents unexpected encounters of bot infiltration and recruitment during survey data collection under pandemic conditions. The note draws from a household survey on a…
Descriptors: Surveys, Research Methodology, Barriers, COVID-19
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Hesse-Biber, Sharlene; Griffin, Amy J. – Journal of Mixed Methods Research, 2013
This article provides an examination of a range of mixed methods research projects that employ Internet-mediated technologies (IMT) for data collection. Using a case study approach, this article allows for the uncovering of a process by which IMT are used as a data collection medium in mixed methods praxis. Under the theoretical position of medium…
Descriptors: Mixed Methods Research, Internet, Information Technology, Data Collection
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Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
Christenson, James A., Ed.; And Others – 1994
Data drive policies; a lack of information results in unresponsive or biased public policies. This book argues that current methods of gathering and interpreting data are not sensitive to the diversity and needs of people living in rural America. Emphasizing the goals of complementarity, cooperation, and responsiveness, it suggests how federal and…
Descriptors: College Role, Data Collection, Databases, Higher Education