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Giunta, Nikki – Learning Professional, 2023
Across diverse sectors of the economy, standardized processes and shared tools have allowed professionals to manage complexity at enormous scale. Too often, schools lack the kind of access to timely information and predictable processes that are taken for granted in other work settings, especially when considering what happens in educators' direct…
Descriptors: Data Use, Student Records, Graduation Rate, Urban Schools
Simms, Kathryn – Journal of Instructional Pedagogies, 2021
This study takes a step toward using data-driven instruction (i.e., using data to guide instructional choices) in the accounting classroom: Evaluating which students are most likely to struggle in the first course of accounting. More specifically, it evaluates the correlations between four constructs (i.e., academic background, grit, attendance,…
Descriptors: Data Use, Decision Making, Introductory Courses, Accounting
Flannery, K. Brigid; Kato, Mimi McGrath; Kittelman, Angus; McIntosh, Kent; Triplett, Danielle – School Psychology, 2020
Although high school graduation rates are improving, many students are still not successful. Research has documented that 9th grade is a pivotal year in determining whether a student will graduate or drop out. The purpose of this randomized controlled trial was to assess the effects of a Tier 1 intervention model (freshmen success) for 9th grade…
Descriptors: Grade 9, Intervention, High School Freshmen, Learner Engagement
Hartman, Jenifer J.; Janssens, Radford; Hensberry, Karina K. R. – Education Leadership Review, 2020
Data-driven decision making is a critical leadership skill. This study describes how leadership at a four-year university used extant data to improve student outcomes. The University identified the high rate of first-time-in-college (FTIC) student withdrawal/failure in initial algebra courses as having a detrimental effect on other student success…
Descriptors: College Freshmen, Student Placement, College Mathematics, Leadership
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
Saint Martin, Marlene; Pardo, Miguel Szekely – Journal of Education and Learning, 2020
In 2006, the BBVA Foundation in Mexico designed a scholarship and mentoring program that targeted vulnerable lower secondary education students in municipalities with high-intensity migration rates. We follow applicants who started lower secondary education in 2009 to estimate the impact of the Program on the probability of graduating from the…
Descriptors: Scholarships, Program Effectiveness, Standardized Tests, Data Use
Bos, Johannes M.; Graczewski, Cheryl; Dhillon, Sonica; Auchstetter, Amelia; Cassasanto-Ferro, Julia; Kitmitto, Sami – American Institutes for Research, 2022
The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…
Descriptors: Program Effectiveness, Grade 9, Secondary School Students, Secondary School Teachers
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Bos, Johannes M.; Dhillon, Sonica; Borman, Trisha – American Institutes for Research, 2019
This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…
Descriptors: Grade 9, High Schools, High School Freshmen, Program Effectiveness

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