Data · dataset · 2011
Establishing Models for the Interpretation and Education in Botanic Gardens and Study on the Application Potential of Landscape Narrative
Listed in Harvard Dataverse
The objective of this research is to explore how the learning efficiency of group learners is affected by employing landscape narratives through both computer simulation and on site scene creation in botanic gardens.
Description
The study also compared the effects of both treatments on learning effectiveness. The results would be valuable for creating or remodeling a new display area in botanic gardens in order to have better message sending efficiency.
The empirical research was undertaken at the Botanic Garden of National Museum of Natural Science. The theme display areas targeted in the study were created by both computer simulation and real site creation. Total 695 school children were randomly selected from elementary schools of Taichung to participate in this study.
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These pupils were randomly divided into four homogeneous groups. Four groups of pupils were then given evaluation test and questionnaire survey to determine the effectiveness of the landscape narratives. The main findings of the research include: 1.When the interpretive content was well associated and matched with the narrative landscape, the comprehension and retention of content was increased significantly for both simulated film and on-site treatment. 2.The results also indicated that interests, attractiveness and visual preference of narrative landscape scenes for both receiving simulated film and on-site treatment were increased. 3.Learning efficiency of pupils shows significantly positive correlation to visual preference in both the simulated film and on-site treatment. 4.Simulated film shows comparable effects to real site scene.
The results are valuable for evaluating message sending efficiency and visual preference of display areas by computer simulation before real site creation. 5.The research has proposed an ideal model for setting display areas with interpretation system for boatanic gardens 6.The studies has generated preliminarily cognitive model for landscape narratives.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E96050-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e96050-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Landscape ecology 77% · Simulation 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E96050-1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:410206 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (77%) |
| concepts[method].local:method:simulation | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |