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Session Type: Professional Development Course
In this half-day session, we delve into the transformative potential of applying critical theories to the analysis of large-scale datasets in educational research. As educational institutions and policymakers increasingly rely on big data to inform policies and practices, it is crucial to scrutinize how these data are analyzed, interpreted, and utilized to identify effective remedies, sustainable repairs, and systemic renewals addressing thorny issues in K-12 and higher education.
This session will explore how critical theories—such as critical race theory, disability theory, intersectionality, sense of belonging (Strayhorn, 2019), socialization, among others—can provide a robust framework for analyzing educational data, operationalizing key variables, and guiding analytic procedures. By employing these lenses, researchers can uncover hidden biases, challenge dominant narratives (i.e., counterstorytelling), and advocate for more equitable educational practices.
The course has several major objectives. Participants will learn specific strategies for integrating critical theories into their data analysis processes. Through practical examples and real-life case studies, we will demonstrate how to identify and address structural inequalities, systemic barriers (e.g., poverty), and proxies for other social circumstances using large-scale data published by the US Department of Education, Social Science Research Consortium, and other grant-funded agencies across the globe. This approach not only aids in remedying existing issues but also contributes to the repair and renewal of educational systems.
Join us for an engaging and thought-provoking discussion on harnessing the power of critical theories to drive meaningful change in educational research and practice. Enter ready to learn and engage; leave ready to act and analyze! There is an additional course fee: Member: $90/Non-member: $115