Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Prediction | 2 |
| Predictor Variables | 2 |
| Academic Failure | 1 |
| Age Differences | 1 |
| Anthropology | 1 |
| At Risk Students | 1 |
| Birth | 1 |
| Birth Rate | 1 |
| Child Health | 1 |
| Child Rearing | 1 |
| Childhood Needs | 1 |
| More ▼ | |
Publication Type
| Books | 2 |
| Non-Print Media | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Adult Education | 1 |
| Early Childhood Education | 1 |
| Elementary Secondary Education | 1 |
Audience
Location
| Canada | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkJose Silva-Lugo; Heather Maness – Sage Research Methods Cases, 2025
The study provides a detailed methodological approach, cross-industry standard process for data mining, for predicting at-risk students with an imbalanced class. The objective was to identify the best machine learning model for predicting students at risk of failing the course during weeks 2-8 of the semester. We encountered issues in the dataset,…
Descriptors: Prediction, Predictor Variables, At Risk Students, Information Retrieval
Lauster, Nathanael; Allan, Graham – University of British Columbia Press, 2011
Fertility rates have fallen dramatically around the world. In some countries, there are no longer enough children being born to replace adult populations. The disappearance of children is a matter of concern matched only by fears that childhood is becoming too structured or not structured enough, too short or too long, or just simply too different…
Descriptors: Investigations, Demography, Anthropology, Prediction
