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Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
Maria de Lourdes Viloria; Cynthia Gallardo; Ricardo Lozano; Lina de la Garza – Journal of Cases in Educational Leadership, 2025
This study focuses on the culturally responsive leadership practices of a South Texas school principal. Texas ranks second out of 10 states with the highest emergent bilingual enrollment. Culturally responsive leadership integrates a dynamic view of the socio-political and cultural contexts in a school setting. As the student population becomes…
Descriptors: Bilingual Students, Principals, Decision Making, Data Use
Joseph Raymond Genovese – ProQuest LLC, 2023
The purpose of this process evaluation was to evaluate how classroom teachers, campus administrators, and instructional staff differ in their perception of data usage for educational improvement in a large suburban Independent School District (ISD) in Southeast Texas. The researcher was granted permission by the superintendent of the school…
Descriptors: Data Use, Decision Making, Teacher Attitudes, Administrator Attitudes
Burmicky, Jorge; Duran, Antonio – Community College Review, 2022
Objective: The purpose of this study was to explore how public community college presidents draw upon data, their core values, and lived experiences to make decisions about how they can best respond to the holistic needs of their students. Method: Utilizing secondary elite focus group data with 15 community college presidents in Texas, we employed…
Descriptors: Community Colleges, College Presidents, Experience, Values
Klingbeil, David A.; Osman, David J.; Van Norman, Ethan R.; Berry-Corie, Kimberly; Kim, Jessica S.; Schmitt, Madeline C.; Latham, Alexander D. – Reading & Writing Quarterly, 2023
Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…
Descriptors: Screening Tests, Reading Tests, Middle School Students, Identification
Kiera Wade Warren – ProQuest LLC, 2022
According to the United States Department of Education (2012, 2016), degree completions are a vital measure of overall institution success. Significantly, declining student persistence rates and low degree completions are consistent problems in public colleges throughout the United States. Not only are diminishing retention and incomplete degrees…
Descriptors: College Students, Public Colleges, Academic Persistence, School Holding Power
Hopkins, Candace C.; Jones, Don; Hall, Kelly S.; Korelich, Kathryn – Journal of Instructional Pedagogies, 2021
A gap in practice at CES Elementary School (pseudonym) was the lack of data driven instructional decision making that contributed to the problem of low school scores on the State of Texas Assessments of Academic Readiness (STAAR). Low STAAR scores have negatively impacted student, teacher, and administrator retention. Unsuccessfully, data chats…
Descriptors: Elementary School Teachers, Teacher Attitudes, Data Analysis, Computer Mediated Communication
Peltzman, Alissa; Curl, Cory – Council of Chief State School Officers, 2019
State and school report cards provide a powerful avenue for states to reach families and the broader public as essential partners in improving student outcomes. The federal Every Student Succeeds Act (ESSA) and many state legislatures require states to publish an array of education data including measures at the state, district, and school levels.…
Descriptors: Data Use, Educational Improvement, Equal Education, Decision Making
Texas Education Research Center, 2020
E3 Alliance is a regional, data-driven education collaborative based in Austin, Texas. Founded in 2006, E3 Alliance acts as a catalyst for change, working to break down barriers and build better alignment across the education continuum. In pursuit of systemic change, E3 Alliance is guided by "The Blueprint for Educational Change,"…
Descriptors: Data Use, Decision Making, Educational Change, Geographic Regions
Irby, Beverly J.; Abdelrahman, Nahed; Cajiao-Wingenbach, Laura; Lara-Alecio, Rafael; Tong, Fuhui – AERA Online Paper Repository, 2017
A succession planning study with 100 sitting superintendents randomly selected from the 20 Education Service Centers across Texas. The superintendents are being interviewed and are providing their campus and district leadership pathway practices (administrative succession planning practices). The first three interview findings which provide a type…
Descriptors: Superintendents, Education Service Centers, School Districts, Principals
Perry, Angela – Project on Student Debt, 2019
California has long been a national and global leader in developing and maintaining quality higher education options, as well as in providing financial aid and consumer protections for Californians who access that education. However, although California's colleges and the state government do collect, receive, and report a great deal of data, these…
Descriptors: Education Work Relationship, Access to Information, Wages, Data Collection
Thinking Heuristically about Student Growth in Austin Independent School District. Publication 17.33
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools
Herrera, Angelica; Massengale, CoCo; Fleming, Grace; Gonzales, Lisa – Texas Comprehensive Center, 2016
Because eligibility for Title I funding is dependent on the financial needs of schools' populations, many Title I schools face significant barriers to student achievement. Decades of research have shown that poverty has a strong negative impact on student academic performance (Herbers et al., 2012), and Title I schools frequently serve students…
Descriptors: Low Income Students, Poverty, School Effectiveness, Academic Achievement

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