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Sara A. Hart; Christopher Schatschneider; Tara Reynolds; Favenzio Calvo – Journal of Learning Disabilities, 2024
The purpose of this invited paper is to show the learning disabilities field what LDbase is, why it's important for the field, what it offers the field, and examples of how you can leverage LDbase in your own work.
Descriptors: Learning Disabilities, Databases, Information Storage, Access to Information
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Schechter, Chen; Qadach, Mowafaq; Da'as, Rima'a – Learning Organization, 2022
Purpose: Organizational learning (OL) has been conceptualized as a critical component in school change processes. Nevertheless, OL in the school context is still somewhat obscure and difficult to comprehend, thus it is rarely translated into operational structures and processes and later permanently sustained. The purpose of this study is to…
Descriptors: Organizational Learning, Data Collection, Elementary School Teachers, Teacher Attitudes
Casey Gogno; Scott Burden; Wyntre Stout – Association for Institutional Research, 2024
Creating a welcoming community is key for an academic environment to thrive. This approach includes accurately representing community members' identities to understand their experiences, and establishing procedures for recording and utilizing individuals' names to support their ability to express their identities freely and without fear of…
Descriptors: Data Collection, Information Storage, Student Characteristics, Identification
Hunt Institute, 2022
From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…
Descriptors: Educational Attainment, Postsecondary Education, Equal Education, Access to Education
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design