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Greene Nolan, Hillary; Vang, Mai Chou – Digital Promise, 2023
Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…
Descriptors: Middle School Students, Grade 7, Grade 8, Predictor Variables
Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Regional Educational Laboratory Southwest, 2021
The "Identifying Indicators That Predict Postsecondary Readiness and Success in Arkansas" study examined the extent to which Arkansas's middle school and high school indicators of postsecondary readiness predict a student's postsecondary readiness outcome and success outcomes. The study estimated the accuracy and strength of the middle…
Descriptors: Prediction, Educational Indicators, College Readiness, College Entrance Examinations
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
Torres, D. Diego – Houston Independent School District, 2018
Achieve3000®, a web-based differentiated reading program based on the Lexile® Framework and designed to improve student reading ability and comprehension of increasingly complex texts, was made available to approximately 100,000 secondary students across 98 HISD schools during the 2017-2018 academic year. The present evaluation, using a select…
Descriptors: Reading Achievement, Reading Programs, Reading Instruction, Middle School Students
Marinell, William H.; Coca, Vanessa M.; Arum, Richard; Goldstein, Jennifer; Kemple, James; Pallas, Aaron; Bristol, Travis; Buckley, Clare; Scallon, Amy; Tanner, Barbara – Research Alliance for New York City Schools, 2013
The technical appendices presented in this document correspond to the synthesis report, "'Who Stays and Who Leaves?' Findings from a Three-Part Study of Teacher Turnover in NYC Middle Schools." The appendices include: (1) Description of Data Source and Samples; (2) Methods; and (3) Who Are the Middle School Teachers in NYC? [The…
Descriptors: Urban Schools, Middle School Teachers, Teacher Persistence, Labor Turnover
Spalding, Audrey – Mackinac Center for Public Policy, 2013
The Michigan Context and Performance Report Card measures school performance by adjusting standardized test scores to account for student background. Comparing schools using unadjusted test scores ignores the significant relationship between academic performance and student socioeconomic background--a dynamic outside a school's control. The…
Descriptors: Academic Achievement, Regression (Statistics), Achievement Rating, Comparative Analysis
Jackson, C. Kirabo – National Bureau of Economic Research, 2013
Unlike in elementary school, high-school teacher effects may be confounded with both selection to tracks and unobserved track-level treatments. I document sizable confounding track effects, and show that traditional tests for the existence of teacher effects are likely biased. After accounting for these biases, high-school algebra and English…
Descriptors: Teacher Influence, Value Added Models, Mathematics Instruction, Algebra
Williams, Trish; Haertel, Edward; Kirst, Michael W. – EdSource, 2011
This report is a follow-up to "Gaining Ground in the Middle Grades" (Williams, Kirst, Haertel, et al., 2010). That study specified a comprehensive set of actionable practices that differentiated higher academic achievement among 303 middle grades schools in California. In doing so, the study provided a compelling and coherent account of…
Descriptors: Middle School Students, Middle Schools, Mathematics Achievement, Educational Practices
Uekawa, Kazuaki; Merola, Stacey; Fernandez, Felix; Porowski, Allan – Regional Educational Laboratory Mid-Atlantic, 2010
This Technical Brief presents an historical analysis of key indicators of dropout for Delaware students in grades 9-12. Cut points for key risk indicators of high school dropout for the State of Delaware are provided. Using data provided by the Delaware Department of Education (DDOE), relationships between student dropout and several student…
Descriptors: Dropout Prevention, Dropouts, Predictor Variables, High School Students
Allen, Ann S.; Christopher, Janet C.; Marks, Deborah E.; Miles, Ruth R. – 2000
This mini-research project examined middle school students' participation in and identification with school as a social unit. The study used a student survey to explore: (1) middle schoolers' perceptions of their family educational culture, instructional quality in their school, and their ability/academic self-efficacy; (2) their patterns of…
Descriptors: Age Differences, Middle School Students, Middle Schools, Predictor Variables
Tindal, Gerald; Nese, Joseph F.; Alonzo, Julie – Behavioral Research and Teaching, 2009
In this technical report, data are presented on the predictive and concurrent relation between various student demographic variables (gender, race/ethnicity, special education status, Title 1 status, English language learning status, and economic disadvantage) and three reading easyCBMs (passage reading fluency, vocabulary, and multiple-choice…
Descriptors: Evidence, Reading Fluency, Academic Achievement, Research Reports