NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Lau v Nichols1
What Works Clearinghouse Rating
Showing 1 to 15 of 73 results Save | Export
Caesar Jude Clemente – ProQuest LLC, 2023
Having a job immediately after graduation is the dream of every IT graduate. However, not everyone can achieve this outcome. The study's primary goal is to develop predictive models to forecast IT graduates' chances of finding a job based on factors such as academic performance, socioeconomic status, academic habits, and demographic data.…
Descriptors: Artificial Intelligence, Prediction, Models, Information Technology
Sisi Dong – ProQuest LLC, 2023
Cultural capital is a key term from the Social Reproduction Theory, and it is defined as the codes and practices that parents pass on to their children (Bourdieu, 1984). Previous empirical studies have confirmed the importance of cultural capital, and it is positively related to students' reading achievement (e.g., Kosutic, 2017; Noble &…
Descriptors: Elementary School Students, Parents, Reading Achievement, Cultural Capital
Peer reviewed Peer reviewed
Direct linkDirect link
De Cat, Cecile; Gusnanto, Arief; Serratrice, Ludovica – Studies in Second Language Acquisition, 2018
The literature exploring the executive function correlates of bilingualism is vast, but to date, few studies have concentrated on children, for whom the bilingual advantage appears even more inconsistent than for adults. We investigate a highly heterogeneous group of children (in terms of bilingual experience and socioeconomic status) and identify…
Descriptors: Executive Function, Bilingualism, Children, Socioeconomic Status
Thomas M. Kirnbauer – ProQuest LLC, 2021
This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…
Descriptors: Models, Predictor Variables, Socioeconomic Status, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Sachisthal, Maien S. M.; Jansen, Brenda R. J.; Peetsma, Thea T. D.; Dalege, Jonas; van der Maas, Han L. J.; Raijmakers, Maartje E. J. – Journal of Educational Psychology, 2019
In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another…
Descriptors: Foreign Countries, Comparative Education, Secondary School Students, Student Interests
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Jiang, Hui; Logan, Jessica A.; Jia, Rongfang – Journal of Speech, Language, and Hearing Research, 2018
Purpose: This study investigated the longitudinal development of 2 important contributors to reading comprehension, grammar, and vocabulary skills. The primary interest was to examine the trajectories of the 2 skill areas from preschool to 3rd grade. Method: The study involved a longitudinal sample of 420 children from 4 sites. Language skills,…
Descriptors: Grammar, Vocabulary, Longitudinal Studies, Reading Comprehension
Peer reviewed Peer reviewed
Direct linkDirect link
Eugene, Danielle R. – Journal of Education for Students Placed at Risk, 2020
This multilevel study examined the effects of socioeconomic status (SES) and student perceptions of school climate on academic achievement at the student and school levels. Data used were from the Education Longitudinal Study of 2002. The sample included 9,518 students enrolled in 584 public high schools. The results revealed that student-level…
Descriptors: Models, Educational Environment, Socioeconomic Status, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Moulton, Vanessa; Flouri, Eirini; Joshi, Heather; Sullivan, Alice – Research Papers in Education, 2018
Often young children already have some ideas about what they want to do in the future. Using data from a large UK cohort study, we investigated the individual determinants of seven-year-old children's aspirations, controlling for parental socio-economic background and parental involvement in learning. At age 7, not all children's aspirations were…
Descriptors: Foreign Countries, Predictor Variables, Young Children, Occupational Aspiration
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ober, David R.; Beekman, John A. – Journal of Education and Training Studies, 2016
Cumulative vocabulary models for infants and toddlers were developed from models of learning that predict trajectories associated with low, average, and high vocabulary growth rates (14 to 46 months). It was hypothesized that models derived from rates of learning mirror the type of exchanges provided to infants and toddlers by parents and…
Descriptors: Vocabulary Development, Toddlers, Infants, Parents
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
McCoach, D. Betsy; Yu, Huihui; Gottfried, Allen W.; Gottfried, Adele Eskeles – High Ability Studies, 2017
The Fullerton Longitudinal Study offers a unique opportunity to model the stability of intelligence and achievement and their relations from elementary through secondary school. Using latent variable modeling, we fit a cross-lagged panel model to examine the relations between intelligence and achievement in two academic domains: mathematics and…
Descriptors: Longitudinal Studies, Talent Development, Cognitive Ability, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Mitchell, Anthony J.; Shoho, Alan R. – Leadership and Policy in Schools, 2017
This study sought to determine if there was a relationship between teacher perceptions of educational change and student achievement. Teacher perceptions of change represented the independent variable and the dependent variable consisted of eleventh grade math Texas Assessment of Knowledge and Skills scores, cohort completion rates, and math…
Descriptors: High Schools, Secondary School Teachers, Academic Achievement, Educational Change
Peer reviewed Peer reviewed
Direct linkDirect link
Robinson, Karen Jeong; Roksa, Josipa – Research in Higher Education, 2016
While socioeconomic inequality in postsecondary outcomes is well documented, limited research explores the extent to which seeing a high school counselor can help to reduce inequality in college destinations. In particular, previous research rarely considers the high school context in which counselors and students interact as well as the other…
Descriptors: Higher Education, Equal Education, Access to Education, School Counseling
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Karakolidis, Anastasios; Pitsia, Vasiliki; Emvalotis, Anastassios – Themes in Science and Technology Education, 2016
The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status,…
Descriptors: Foreign Countries, Low Achievement, Mathematics Achievement, Multivariate Analysis
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5