Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Algorithms | 2 |
| Classification | 2 |
| Comparative Analysis | 2 |
| Accuracy | 1 |
| Addition | 1 |
| Artificial Intelligence | 1 |
| At Risk Students | 1 |
| Attendance | 1 |
| Computer Software | 1 |
| Correlation | 1 |
| Early Childhood Education | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
Education Level
| Early Childhood Education | 2 |
| Elementary Education | 2 |
| Primary Education | 2 |
| Grade 2 | 1 |
| Grade 3 | 1 |
Audience
Location
| Massachusetts (Boston) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Nesrin Sahin; Juli K. Dixon; Robert C. Schoen – Grantee Submission, 2020
This observational study used data from 270 second-grade students to investigate the association between students' strategy use for multidigit addition and subtraction and their mathematics achievement. Based on strategies they used during a mathematics interview, students were classified into the following strategy groups: (a) standard algorithm,…
Descriptors: Mathematics Achievement, Comparative Analysis, Grade 2, Elementary School Students
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence

Peer reviewed
Direct link
