Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bias | 1 |
| Computer Simulation | 1 |
| Design Preferences | 1 |
| Educational Practices | 1 |
| Effect Size | 1 |
| Evidence | 1 |
| Inferences | 1 |
| Instructional Design | 1 |
| Instructional Effectiveness | 1 |
| Literature Reviews | 1 |
| Meta Analysis | 1 |
| More ▼ | |
Source
| Studies in Science Education | 1 |
Publication Type
| Information Analyses | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMcElhaney, Kevin W.; Chang, Hsin-Yi; Chiu, Jennifer L.; Linn, Marcia C. – Studies in Science Education, 2015
Dynamic visualisations capture aspects of scientific phenomena that are difficult to communicate in static materials and benefit from well-designed scaffolds to succeed in classrooms. We review research to clarify the impacts of dynamic visualisations and to identify instructional scaffolds that mediate their success. We use meta-analysis to…
Descriptors: Science Curriculum, Science Materials, Visualization, Evidence
