NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)50
Since 2006 (last 20 years)110
Audience
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 110 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
Kapelner, Adam; Soterwood, Jeanine; NessAiver, Shalev; Adlof, Suzanne – Grantee Submission, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sheymardanov, Shamil – Journal of Social Studies Education Research, 2018
The paper deals with application of separate education theory as a factor contributing to the increase in the level of the male students' training. The topicality of the paper is concluded in the fact that in the modern society the pedagogical concept of separate education is considered to be outdated. Alongside with that, some experiments in…
Descriptors: Males, Single Sex Classes, Gender Differences, Teaching Methods
Garbacz, S. Andrew; Zerr, Argero A.; Dishion, Thomas J.; Seeley, John R.; Stormshak, Elizabeth – Journal of Early Adolescence, 2018
The present study examined influences of sixth-grade student-reported parent educational involvement on early adolescent peer group affiliations at seventh and eighth grade. In addition, student gender and ethnicity were explored as possible moderators. Drawn from a large effectiveness trial, participants in this study were 5,802 early adolescents…
Descriptors: Parent Participation, Middle School Students, Longitudinal Studies, Gender Differences
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chao, Pen-Chiang; Chou, Yu-Chi – Universal Journal of Educational Research, 2017
The purpose of this study was to investigate the correlation and probable predictive relationship between self-determination skills taught by special education teachers and the academic performance of students with disabilities from junior high schools in Taiwan. The subjects included teachers from resource rooms and self-contained classrooms (n =…
Descriptors: Correlation, Prediction, Self Determination, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Lippert, Adam M. – Health Education & Behavior, 2017
Objective. To examine temporal changes in the correlates of experimental and current e-cigarette use and associations with tobacco quit attempts. Method. Repeated cross-sectional analyses of data from the 2011 (n = 17,741), 2012 (n = 23,194), and 2013 (n = 16,858) National Youth Tobacco Surveys--a nationally representative sample of U.S. middle…
Descriptors: Smoking, Health Behavior, Models, Surveys
Peer reviewed Peer reviewed
Direct linkDirect link
Stoeger, Heidrun; Greindl, Teresa; Kuhlmann, Johanna; Balestrini, Daniel Patrick – Journal for the Education of the Gifted, 2017
Magnet schools focused on science, technology, engineering, and mathematics (STEM) as well as extracurricular programs in STEM support talented students and help increase their participation rates in those domains. We examined whether and the extent to which the learning and educational capital of male and female students (N = 801) enrolled in…
Descriptors: STEM Education, High Achievement, Secondary School Students, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Romeo, Katherine E.; Horn, Stacey S. – Journal of Moral Education, 2017
One hundred and fifty-six adolescents, drawn from a high school in a Midwestern suburb, provided judgments of a hypothetical incident of homophobic harassment with either a male or female victim. Participants also completed a revised version of the Macho Scale, measuring their endorsement of gender stereotypes (a = 0.75). Without the interaction…
Descriptors: Homosexuality, Fear, High School Students, Gender Differences
Allen, Laura K.; McNamara, Danielle S. – International Educational Data Mining Society, 2015
The current study investigates the degree to which the lexical properties of students' essays can inform stealth assessments of their vocabulary knowledge. In particular, we used indices calculated with the natural language processing tool, TAALES, to predict students' performance on a measure of vocabulary knowledge. To this end, two corpora were…
Descriptors: Vocabulary, Knowledge Level, Models, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Filippello, Pina; Larcan, Rosalba; Sorrenti, Luana; Buzzai, Caterina; Orecchio, Susanna; Costa, Sebastiano – Improving Schools, 2017
Despite the extensive research on parental psychological control, no study has explored the relation between parental and teacher psychological control, maladaptive perfectionism and learned helplessness (LH). The purpose of this study was to investigate (1) whether perceived teacher psychological control predicts positively LH, (2) whether…
Descriptors: Role, Personality Problems, Correlation, Parenting Styles
Peer reviewed Peer reviewed
Direct linkDirect link
Altermatt, Ellen Rydell – Journal of Early Adolescence, 2017
Prior research demonstrates that perceived academic support from peers positively predicts school adjustment. In this cross-sectional study, we provide evidence that perceived academic support from peers declines from 3rd to 8th grade and that this decline is partially mediated by grade-level declines in perceptions that academic success…
Descriptors: Peer Relationship, Case Studies, Academic Achievement, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Monaghan, David – Sociology of Education, 2017
Today, many undergraduates are themselves raising children. But does college-going by parents improve their offspring's educational attainment? I address this question using data from the National Longitudinal Survey of Youth--1979 and linked Children and Young Adults Survey. I first model postnatal college enrollment and bachelor's completion by…
Descriptors: Educational Sociology, Bachelors Degrees, Nontraditional Students, Mothers
Peer reviewed Peer reviewed
Direct linkDirect link
Grimes, Anthony; Medway, Dominic; Foos, Adrienne; Goatman, Anna – Studies in Higher Education, 2017
In the context of higher education, this study examines the extent to which affective evaluations of the student experience are influenced by the point at which they are made (i.e. before the experience begins, whilst it is happening and after it has ended). It adopts a between-groups quantitative analysis of the affective evaluations made by 360…
Descriptors: Student Evaluation, Student Attitudes, Student Experience, Graduate Students
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8