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Cynthia J. Murphy; Siffat A. Sharmin; Hsien-Yuan Hsu – Journal of Education for Students Placed at Risk, 2024
Although studies have investigated educational attainment of groups of students professing low and high educational self-expectations, groups of noncommittal students, rather than being studied as a discrete group, have been treated as missing and ignored. This study investigated the differences between students of noncommittal, low, and high…
Descriptors: Grade 10, Educational Attainment, Hispanic American Students, African American Students
Maura Shramko; Cara Lucke; Kristine Piescher – Prevention Science, 2024
Social determinants of health (SDOH)--conditions in which children live, learn, and play--affect child health and well-being. Publicly funded services in education and child welfare systems are important resources to support child well-being, but cross-system coordination is rare. Leveraging integrated administrative data from 60,287 6th graders…
Descriptors: Child Welfare, Social Services, Access to Health Care, Race
Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
Barroso, Connie; Ganley, Colleen M.; Hart, Sara A.; Rogers, Nancy; Clendinning, Jane P. – Applied Cognitive Psychology, 2019
Based on research identifying relations between math and music, we aimed to identify the group of cognitive and affective factors related to math and music theory that best explained undergraduate music theory achievement. Using dominance analysis, we predicted the music theory course grades of 230 undergraduate music majors. Potential predictors…
Descriptors: Cognitive Processes, Music, Affective Behavior, Mathematics Skills
Reuter, Tracy; Borovsky, Arielle; Lew-Williams, Casey – Developmental Psychology, 2019
According to prediction-based learning theories, erroneous predictions support learning. However, empirical evidence for a relation between prediction error and children's language learning is currently lacking. Here we investigated whether and how prediction errors influence children's learning of novel words. We hypothesized that word learning…
Descriptors: Prediction, Error Patterns, Preschool Children, Language Processing
Lentz, Taryn Acosta; Brown, Chris – Journal of American College Health, 2019
Objective: To examine the moderating effects of subjective sleep quality (SSQ) and sleep duration on the relationships between mindfulness and health behaviors (i.e. nutrition and exercise) among undergraduate students. The unique influence of the five facets (i.e. factors) of mindfulness (i.e. observing, describing, acting with awareness,…
Descriptors: Metacognition, Sleep, Health Behavior, Nutrition
Bianchi, Dora; Morelli, Mara; Baiocco, Roberto; Cattelino, Elena; Laghi, Fiorenzo; Chirumbolo, Antonio – International Journal of Behavioral Development, 2019
Online exchange of sexual content ("sexting") is associated with potentially negative consequences, especially for girls. We investigated possible associations between family functioning and girls' sexting. Italian teenage girls (N = 250; M[subscript age] = 16.36 years; SD[subscript age] = 1.88) completed online surveys that evaluated…
Descriptors: Females, Sexuality, Asynchronous Communication, Correlation
Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek; Mangafa, Chrysoula – British Journal of Educational Technology, 2019
This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…
Descriptors: Learning Analytics, Teacher Empowerment, Distance Education, College Faculty
Morsy, Sara; Karypis, George – Journal of Educational Data Mining, 2019
In order to help undergraduate students towards successfully completing their degrees, developing tools that can assist students during the course selection process is a significant task in the education domain. The optimal set of courses for each student should include courses that help him/her graduate in a timely fashion and for which he/she is…
Descriptors: Undergraduate Students, Grade Point Average, Course Selection (Students), Prediction
Van, Son Huynh; Minh, Hong Nguyen Thi; Vinh, Khuong Nguyen; Vinh, Loc Sam; Thien, Vu Giang – International Journal of Education and Practice, 2019
This study attempts to forecast the results of school students in Vietnam by geographical region analysis. Results show variations between regions. In the Red River Delta region, it is forecast that in the decade 2015 to 2025, the number of children attending to school will increase slightly. In the Midlands and Northern Mountains region, the…
Descriptors: Foreign Countries, Prediction, Outcomes of Education, Attendance Patterns
Manrique, Irany Vera; Gutiérrez, Gabriela Rivadeneyra; González, David Alejandro Martínez – Physics Teacher, 2019
This article describes an experiment that can be done in the classroom in a simple way, with the support of a "homemade" device or as a laboratory practice with the support of PASCO equipment. Through a theory-practice sequence, kinematic and dynamic equations were checked with qualitative and quantitative analysis, emphasizing the…
Descriptors: Teaching Methods, Computer Software, Physics, Science Instruction
Billingsley, Berry; Nassaji, Mehdi – Science & Education, 2019
There are widespread calls for school education to put more emphasis on developing students' appreciation of the power and limitations of science. Without effective teaching, there is a risk that sensationalist media claims will unduly influence students' perceptions of the power of science to already explain and predict aspects of our daily…
Descriptors: Secondary School Students, Secondary School Science, Science Instruction, Student Characteristics
Ishkhanyan, Byurakn; Boye, Kasper; Mogensen, Jesper – Journal of Psycholinguistic Research, 2019
The interaction between working memory and language processing is widely discussed in cognitive research. However, those studies often explore the relationship between language comprehension and working memory (WM). The role of WM is rarely considered in language production, despite some evidence suggesting a relationship between the two cognitive…
Descriptors: Correlation, Short Term Memory, Language Processing, Psycholinguistics
Allen, Jeff; Mattern, Krista; Ndum, Edwin – Educational Measurement: Issues and Practice, 2019
We derived an index of high school academic rigor (HSAR) by optimizing the prediction of first-year college GPA (FYGPA) based on high school courses taken, grades, and indicators of advanced coursework. Using a large data set and nominal parameterization of high school course outcomes, the HSAR index capitalizes on differential contributions…
Descriptors: High Schools, Difficulty Level, Prediction, Grade Point Average
Tu, Kelly M.; Spencer, Clayton W.; El-Sheikh, Mona; Erath, Stephen A. – Journal of Early Adolescence, 2019
This study examined the prospective association between peer victimization and subjective sleep quality among typically developing early adolescents. At Time 1 (T1), participants included 123 youth (50% boys; X-bar age = 12.03 years; 58.5% European American, 35% African American), along with one parent and teacher. Youth, parents, and teachers…
Descriptors: Peer Groups, Bullying, Sleep, Correlation

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