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Li, Warren; Sun, Kaiwen; Schaub, Florian; Brooks, Christopher – International Journal of Artificial Intelligence in Education, 2022
Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases…
Descriptors: College Students, Learning Analytics, Student Attitudes, Informed Consent
C. J. Appleton; Dara Shifrer; Cesar J. Rebellon – Journal of Early Adolescence, 2024
The literature linking adulthood criminality to cumulative disadvantage and early school misbehavior demonstrates that understanding the mechanisms underlying student behavior and the responses of teachers and administrators is crucial in comprehending racial/ethnic disparities in actual or perceived school misbehavior. We use data on 19,160 ninth…
Descriptors: Data Use, Racial Differences, Behavior Problems, Student Behavior
Chitpin, Stephanie – International Journal of Leadership in Education, 2021
This paper explores the student achievement-related decision-making processes of eight school principals in Ontario, Canada. First, we describe Ontario's public education system with respect to neo-liberalism and student achievement. Next, we review general approaches to reducing the achievement gap as it pertains to matters of race. We then show…
Descriptors: Principals, Decision Making, Achievement Gap, Foreign Countries
Reinholz, Daniel; Shah, Niral – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2021
This manuscript focuses on the role of data analytics in mediating how teachers make sense of racial and gender inequity in patterns of student participation in their classrooms. Five middle school mathematics teachers participated in a year-long professional development program, centered on data analytics generated by the EQUIP observation tool.…
Descriptors: Equal Education, Visual Aids, Racial Bias, Gender Bias
Davis, Bradley; Anderson, Erin – Journal of Educational Administration, 2021
Purpose: The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model when and how principals move, over time, between six categories of turnover. Design/methodology/approach: The authors construct several easy-to-interpret alluvial…
Descriptors: Labor Turnover, Principals, Persistence, Administrator Characteristics
Ilene Kantrov; Katherine A. Shields – Grantee Submission, 2020
As career and technical education (CTE) has evolved, many school districts that offer high-quality CTE programs such as career academies have found that these programs attract disproportionate numbers of students from historically advantaged populations. Drawing on data from a study of career academies in a large California school district, this…
Descriptors: Data Use, Educational Improvement, Equal Education, Vocational Education
Marc P. Johnston-Guerrero – Journal Committed to Social Change on Race and Ethnicity, 2017
Race has been one of the most controversial subjects studied by scholars across a wide range of disciplines as they debate whether races actually exist and whether race matters in determining life, social, and educational outcomes. Missing from the literature are investigations into various ways race gets applied in research, especially in higher…
Descriptors: Literature Reviews, Content Analysis, Higher Education, College Students
Swain-Bradway, Jessica; Gulbrandson, Kim; Galston, Anthony; McIntosh, Kent – Technical Assistance Center on Positive Behavioral Interventions and Supports, 2019
This evaluation brief describes how Wisconsin is implementing an equitable multi-level system of supports (MLSS) framework, also known as a multi-tiered system of supports (MTSS), and how schools implementing this framework with both a behavior and reading focus have shown positive outcomes for all students. The data analyzed in this brief were…
Descriptors: Behavior Modification, Academic Support Services, Discipline, Student Needs
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
Bulgakov-Cooke, Dina; Singh, Malkeet – Wake County Public School System, 2018
The Multi-Tiered System of Support (MTSS) framework, which uses a systems approach to promote school improvement and support all students in improving academics and behavior using data-based problem-solving, is a key part of the Wake County Public Schools System (WCPSS) Strategic Plan. As of 2017-18, MTSS schools were at the initial stages of MTSS…
Descriptors: Program Effectiveness, Reading Achievement, Academic Achievement, Student Behavior
Online Submission, 2000
This report examines college enrollment of students working and/or attending public post-secondary institutions in Texas for the AISD 1997-1998 senior cohort.
Descriptors: School Districts, College Enrollment, College Attendance, Postsecondary Education

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