Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Visual Learning | 2 |
Visualization | 2 |
Affordances | 1 |
Cognitive Processes | 1 |
Cognitive Style | 1 |
Concept Formation | 1 |
Decision Making | 1 |
Elementary Schools | 1 |
Elementary Secondary Education | 1 |
Evidence | 1 |
Foreign Countries | 1 |
More ▼ |
Author
Italo Masiello | 1 |
Newcombe, Nora S. | 1 |
Rafael M. Martins | 1 |
Stieff, Mike | 1 |
Susanna Nordmark | 1 |
Zeynab Mohseni | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Information Analyses | 1 |
Education Level
Elementary Secondary Education | 2 |
Elementary Education | 1 |
Secondary Education | 1 |
Audience
Location
Asia | 1 |
Australia | 1 |
Europe | 1 |
North America | 1 |
South America | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zeynab Mohseni; Italo Masiello; Rafael M. Martins; Susanna Nordmark – Journal of Learning Analytics, 2024
Visual Learning Analytics (VLA) uses analytics to monitor and assess educational data by combining visual and automated analysis to provide educational explanations. Such tools could aid teachers in primary and secondary schools in making pedagogical decisions, however, the evidence of their effectiveness and benefits is still limited. With this…
Descriptors: Learning Analytics, Visual Learning, Visualization, Intervention
Newcombe, Nora S.; Stieff, Mike – International Journal of Science Education, 2012
Visualizations are an increasingly important part of scientific education and discovery. However, users often do not gain knowledge from them in a complete or efficient way. This article aims to direct research on visualizations in science education in productive directions by reviewing the evidence for widespread assumptions that learning styles,…
Descriptors: Science Education, Visualization, Spatial Ability, Cognitive Style