Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Descriptor
Hierarchical Linear Modeling | 3 |
Intervention | 2 |
Accuracy | 1 |
Algorithms | 1 |
Artificial Intelligence | 1 |
At Risk Students | 1 |
Attendance | 1 |
Classification | 1 |
Comparative Analysis | 1 |
Computation | 1 |
Computer Software | 1 |
More ▼ |
Source
Society for Research on… | 3 |
Author
Christina Weiland | 1 |
Daniel Almirall | 1 |
James E. Pustejovsky | 1 |
Jingru Zhang | 1 |
Tiffany Wu | 1 |
Timothy Lycurgus | 1 |
Publication Type
Reports - Research | 3 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 3 | 1 |
Primary Education | 1 |
Audience
Location
Massachusetts (Boston) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Heterogeneity Estimation in Meta-Analysis: Investigating Methods for Dependent Effect Size Estimates
Jingru Zhang; James E. Pustejovsky – Society for Research on Educational Effectiveness, 2024
Background/Context: In meta-analysis examining educational intervention, characterizing heterogeneity and exploring the sources of variation in synthesized effects have become increasingly prominent areas of interest. When combining results from a collection of studies, statistical dependency among their effects size estimates will arise when a…
Descriptors: Meta Analysis, Investigations, Effect Size, Computation
Timothy Lycurgus; Daniel Almirall – Society for Research on Educational Effectiveness, 2024
Background: Education scientists are increasingly interested in constructing interventions that are adaptive over time to suit the evolving needs of students, classrooms, or schools. Such "adaptive interventions" (also referred to as dynamic treatment regimens or dynamic instructional regimes) determine which treatment should be offered…
Descriptors: Educational Research, Research Design, Randomized Controlled Trials, Intervention
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