Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
Descriptor
| Learning Processes | 2 |
| Sequential Learning | 2 |
| Academic Ability | 1 |
| Ambiguity (Context) | 1 |
| Attitudes | 1 |
| Beliefs | 1 |
| Computation | 1 |
| Computer Simulation | 1 |
| Decision Making | 1 |
| Educational Technology | 1 |
| Elementary School Students | 1 |
| More ▼ | |
Source
| Instructional Science: An… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkDvir, Michal; Ben-Zvi, Dani – Instructional Science: An International Journal of the Learning Sciences, 2023
Estimating and accounting for statistical uncertainty have become essential in today's information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical…
Descriptors: Learning Processes, Computation, Numeracy, Attitudes
McEneaney, John E. – Instructional Science: An International Journal of the Learning Sciences, 2016
Instructional technologies critically depend on systematic design, and learning hierarchies are a commonly advocated tool for designing instructional sequences. But hierarchies routinely allow numerous sequences and choosing an optimal sequence remains an unsolved problem. This study explores a simulation-based approach to modeling learning…
Descriptors: Educational Technology, Computer Simulation, Sequential Learning, Sequential Approach
