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Regional Educational Laboratory Pacific, 2021
These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…
Descriptors: Foreign Countries, College Readiness, High School Students, College Preparation
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Gershenson, Seth; Papageorge, Nicholas – Education Next, 2018
Despite abundant anecdotes and theories suggesting a causal effect of teachers' expectations on student outcomes, documenting its presence and size has been challenging. The reason is simple: positive correlations between what teachers expect and what students ultimately accomplish might simply result from teachers being skilled observers. In…
Descriptors: Teacher Expectations of Students, Racial Bias, Academic Achievement, Outcomes of Education
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Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
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Herodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash – Journal of Learning Analytics, 2019
Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…
Descriptors: Prediction, Data Analysis, Higher Education, Distance Education
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Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
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Montt, Guillermo – Comparative Education Review, 2016
Socioeconomic integration in schools has been shown to bring positive academic and nonacademic outcomes to disadvantaged students attending them. The academic benefits of integration on advantaged students are, by contrast, less evident. Effective integrated schools are those that promote disadvantaged students' outcomes yet advantaged students do…
Descriptors: Socioeconomic Status, Social Integration, Advantaged, Economically Disadvantaged
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Christofides, Louis N.; Hoy, Michael; Milla, Joniada; Stengos, Thanasis – Canadian Journal of Higher Education, 2015
In this paper, we exploit a rich longitudinal data set to explore the forces that, during high school, shape the development of aspirations to attend university and achieve academic success. We then investigate how these aspirations, along with grades and other variables, impact educational outcomes such as going to university and graduating. It…
Descriptors: Postsecondary Education, Longitudinal Studies, Academic Achievement, Achievement Need
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Méndez, Gonzalo; Ochoa, Xavier; Chiluiza, Katherine; de Wever, Bram – Journal of Learning Analytics, 2014
Learning analytics has been as used a tool to improve the learning process mainly at the micro-level (courses and activities). However, another of the key promises of learning analytics research is to create tools that could help educational institutions at the meso- and macro-level to gain better insight into the inner workings of their programs…
Descriptors: Data Analysis, Data Collection, Educational Research, Curriculum Design
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Hu, Shouping – Innovative Higher Education, 2011
Using data from two rounds of surveys on students in the Washington State Achievers (WSA) program, this study examined the relationship between student engagement in college activities and student persistence in college. Different approaches using student engagement measures in the persistence models were compared. The results indicated that the…
Descriptors: Educational Research, Persistence, Academic Achievement, Probability
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Barrett, Kimberly L.; Jennings, Wesley G.; Lynch, Michael J. – Journal of School Violence, 2012
Despite decades of research analyzing fear of crime among adults, little is known about youth fear of crime in general and youth fear of crime in school, specifically. Moreover, among existing studies most emphasize causes of fear, with little discussion of avoidance or the academic consequences of these feelings and behaviors in school. This…
Descriptors: Extracurricular Activities, Crime, Fear, Resistance (Psychology)
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Feldman, Betsy J.; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…
Descriptors: Dropouts, Academic Achievement, Longitudinal Studies, Computation
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Rutkowski, Leslie; Gonzalez, Eugenio; Joncas, Marc; von Davier, Matthias – Educational Researcher, 2010
The technical complexities and sheer size of international large-scale assessment (LSA) databases often cause hesitation on the part of the applied researcher interested in analyzing them. Further, inappropriate choice or application of statistical methods is a common problem in applied research using these databases. This article serves as a…
Descriptors: Research Methodology, Measures (Individuals), Data Analysis, Databases
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National Center for Education Statistics, 2009
This report presents results of the 2009 National Assessment of Educational Progress (NAEP) in mathematics at grades 4 and 8. The results from the 2009 assessment presented in this report are compared to those from previous years, showing how students' performance in mathematics has progressed over time. Results for students in the nation, the 50…
Descriptors: Student Participation, Academic Achievement, Second Language Learning, National Competency Tests
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Attewell, Paul; Domina, Thurston – Educational Evaluation and Policy Analysis, 2008
Using national transcript data, the authors examine inequality in access to an advanced curriculum in high school and assess the consequences of curricular intensity on test scores and college entry. Inequalities in curricular intensity are primarily explained by student socioeconomic status effects that operate within schools rather than between…
Descriptors: Academic Achievement, Effect Size, Probability, Advanced Courses
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National Center for Education Statistics, 2011
This report presents results of the 2011 National Assessment of Educational Progress (NAEP) in mathematics at grades 4 and 8. Nationally representative samples of 209,000 fourth-graders and 175,200 eighth-graders participated in the 2011 National Assessment of Educational Progress (NAEP) in mathematics. At each grade, students responded to…
Descriptors: National Competency Tests, Data Analysis, Grade 4, Probability
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