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Mingyu Feng; Chunwei Huang; Kelly Collins – Society for Research on Educational Effectiveness, 2023
Context: The use of educational technology for improving K-12 math education has expanded dramatically recently. ASSISTments (Heffernan & Heffernan, 2014), a widely used digital platform, has seen its use in schools increase significantly from 800 to 20,000 teachers over the past two years. A review of evidence-based online programs by the…
Descriptors: Mathematics Instruction, Homework, Intervention, Educational Technology
Breaux, Rosanna; Langberg, Joshua M.; Swanson, Courtney S.; Eadeh, Hana-May; Becker, Stephen P. – Grantee Submission, 2020
Introduction: This study examined whether adolescents with and without attention-deficit/hyperactivity disorder (ADHD) differed in affect variability and whether variability in positive and negative affect was associated with functional outcomes. Method: Participants were 302 adolescents (12-14 years, "M"age=13.17, 55% male; 54%…
Descriptors: Early Adolescents, Attention Deficit Hyperactivity Disorder, Affective Behavior, Fear
VerBruggen, Robert – Manhattan Institute for Policy Research, 2022
The Supreme Court has agreed to weigh in on the legality of racial preferences, in part thanks to a lawsuit against Harvard College alleging that the school discriminates against Asian-Americans. Proving discrimination at a specific school is an arduous task, requiring access to private, detailed admissions records--as the legal documents in that…
Descriptors: Asian American Students, Court Litigation, Racial Discrimination, Enrollment Trends
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Xu, Jianzhong – Research Papers in Education, 2014
This study examines models of variables posited to predict students' homework motivation management (HMM), based on survey data from 866 8th graders (61 classes) and 745 11th graders (46 classes) in the south-eastern USA. Most of the variance in HMM occurred at the student level, with parent education as the only significant predictor at the class…
Descriptors: Student Motivation, Homework, Secondary School Students, Grade 8
Ginsburg, Alan; Chudowsky, Naomi – National Assessment Governing Board, 2012
This report uses NAEP background data to track time and learning since the mid-1990s in three areas: student absenteeism; classroom instructional time in mathematics, reading, music and the visual arts; and homework time expected by teachers. Key report findings are: (1) Students with higher rates of "monthly absenteeism" score…
Descriptors: Academic Achievement, Data Collection, Educational Assessment, Alignment (Education)
Walsh, Patrick – Journal of School Choice, 2010
This paper considers whether high schools in competitive environments use grade inflation to attract and retain families, perhaps in addition to more constructive responses. Two measures of grade inflation are used: the cutoffs used by each school to assign a letter grade to a percent score and high school grade point average after controlling for…
Descriptors: Grade Point Average, Grade Inflation, Competition, Least Squares Statistics
Chang, Mido; Singh, Kusum; Mo, Yun – Educational Research and Evaluation, 2007
The study explored the relationship of self-concept and locus of control to science engagement and science achievement. Furthermore, the relationship of self variables with science engagement and science achievement was studied across ethnicity, gender, and socioeconomic status (SES). The data were accessed from the 3 waves of the National…
Descriptors: Locus of Control, Science Achievement, Item Response Theory, Science Education
Segal, Carmit – Journal of Human Resources, 2008
This paper investigates the determinants and malleability of noncognitive skills. Using data on boys from the National Education Longitudinal Survey, I focus on youth behavior in the classroom as a measure of noncognitive skills. I find that student behavior during adolescence is persistent. The variation in behavior can be attributed to…
Descriptors: Student Behavior, Gender Differences, College Students, Males
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Early Childhood Education, Elementary Secondary Education, Higher Education, Adult Education
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Elementary Education, Secondary Education, Elementary Secondary Education, Higher Education